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Optics Express

Optics Express

  • Editor: Martijn de Sterke
  • Vol. 16, Iss. 20 — Sep. 29, 2008
  • pp: 15353–15365
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Electronic dispersion compensation using full optical-field reconstruction in 10Gbit/s OOK based systems

J. Zhao, M. E. McCarthy, and A. D. Ellis  »View Author Affiliations


Optics Express, Vol. 16, Issue 20, pp. 15353-15365 (2008)
http://dx.doi.org/10.1364/OE.16.015353


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Abstract

We investigate the design of electronic dispersion compensation (EDC) using full optical-field reconstruction in 10Gbit/s on-off keyed transmission systems limited by optical signal-to-noise ratio (OSNR). By effectively suppressing the impairment due to low-frequency component amplification in phase reconstruction, properly designing the transmission system configuration to combat fiber nonlinearity, and successfully reducing the vulnerability to thermal noise, a 4.8dB OSNR margin can be achieved for 2160km single-mode fiber transmission without any optical dispersion compensation. We also investigate the performance sensitivity of the scheme to various system parameters, and propose a novel method to greatly enhance the tolerance to differential phase misalignment of the asymmetric Mach-Zehnder interferometer. This numerical study provides important design guidelines which will enable full optical-field EDC to become a cost-effective dispersion compensation solution for future transparent optical networks.

© 2008 Optical Society of America

1. Introduction

Recently, a novel cost-effective EDC receiver was proposed, which accesses the intensity and instantaneous frequency information simultaneously, using a single asymmetric Mach- Zehnder interferometer (AMZI) for on-off keyed (OOK) signals [7

7. A. D. Ellis and M. E. McCarthy, “Receiver-side electronic dispersion compensation using passive optical field detection for low cost 10Gbit/s 600 km-reach applications,” in Proc. Optical Fiber Communication Conference (2006), paper OTuE4.

] or two AMZIs for differential phase shift keyed/differential quadrature phase shift keyed signals [8

8. X. Liu, S. Chandrasekhar, and A. Leven, “Digital self-coherent detection”, Opt. Express 16, 792–803 (2008). [CrossRef] [PubMed]

,9

9. N. Kikuchi, K. Mandai, S. Sasaki, and K. Sekine, “Proposal and first experimental demonstration of digital incoherent optical field detector for chromatic dispersion compensation,” European Conference on Optical Communication (2006), PDP Th4.4.4.

]. This recovered information allows for full optical-field CD compensation with a dispersive transmission line [7

7. A. D. Ellis and M. E. McCarthy, “Receiver-side electronic dispersion compensation using passive optical field detection for low cost 10Gbit/s 600 km-reach applications,” in Proc. Optical Fiber Communication Conference (2006), paper OTuE4.

] or finite impulse response filter [8

8. X. Liu, S. Chandrasekhar, and A. Leven, “Digital self-coherent detection”, Opt. Express 16, 792–803 (2008). [CrossRef] [PubMed]

-10

10. A. Polley and S. E. Ralph, “Receiver-side adaptive opto-electronic chromatic dispersion compensation,” in Proc. Optical Fiber Communication Conference (2007), paper JThA51.

] in the electrical domain. In OOK based systems, this scheme was experimentally verified to successfully recover a 10Gbit/s signal after transmission over 248km of field-installed SMF [11

11. J. Zhao, M. E. McCarthy, P. Gunning, and A. D. Ellis, “Dispersion tolerance enhancement in electronic dispersion compensation using full optical-field reconstruction,” in Proc. Optical Fiber Communication Conference (2008), paper OWL3.

].

While the basic concept was proposed and feasibility verified previously [7

7. A. D. Ellis and M. E. McCarthy, “Receiver-side electronic dispersion compensation using passive optical field detection for low cost 10Gbit/s 600 km-reach applications,” in Proc. Optical Fiber Communication Conference (2006), paper OTuE4.

-11

11. J. Zhao, M. E. McCarthy, P. Gunning, and A. D. Ellis, “Dispersion tolerance enhancement in electronic dispersion compensation using full optical-field reconstruction,” in Proc. Optical Fiber Communication Conference (2008), paper OWL3.

], a systematic investigation of the important design criteria for a practical EDC receiver using full optical-field reconstruction and limited by signal-to-noise ratio (OSNR) remained to be accomplished. In this paper, we will study the critical impairments which degrade the performance of the scheme, and accordingly propose effective solutions that enable the achievement of 4.8dB OSNR margin after 2160km SMF transmission for OOK data without optical dispersion compensation.

2. Principle and simulation model

Figure 1 depicts the principle of full optical-field EDC. The incoming optical signal is processed by a single AMZI with a differential time delay (DTD) of Δt and differential phase shift of π/2. Assuming that the input optical field (baseband representation) is E(t), the two outputs of the AMZI, E 1(t) and E 2(t), are given by:

E1(t)=(E(t)E(t+Δt)e(jπ2))2E(t+Δt2)e(jπ4)[e(jΔω(t)Δt2jπ4)e(jΔω(t)Δt2+jπ4)]2
E2(t)=(E(t)+E(t+Δt)e(jπ2))2E(t+Δt2)e(jπ4)[e(jΔω(t)Δt2jπ4)+e(jΔω(t)Δt2+jπ4)]2
(1)
Fig. 1. Principle of full optical-field EDC

where Δω(t) (=ω(t)-ω 0) is the instantaneous frequency of baseband representation of the optical field, E(t). ω 0 is the optical carrier frequency. E 1(t) and E 2(t) are detected by a pair of detectors, electrically amplified, and filtered by electrical filters (EFs) to obtain the electrical signals V 1(t) and V 2(t):

V1(t)=α1E(t+Δt2)2sin2(Δω(t)Δt2+π4)
V2(t)=α2E(t+Δt2)2cos2(Δω(t)Δt2+π4)
(2)

where α 1 and α 2 are scaling factors taking account of the responsivities of the detectors and the gains of the electrical amplifiers for the V 1(t) and V 2(t) signal paths. For analytical simplicity, α 1=α 2=1 is assumed. Signals proportional to the intensity, instantaneous frequency, and phase information of the optical field, V A(t), V f(t), and V p(t), can be extracted by signal processing of V 1(t) and V 2(t):

VA(t)=[V1(t)+V2(t)]12=E(t+Δt2)
Vf(t)=[V1(t)V2(t)][2πΔtV1(t)+2πΔtV2(t)]=sin(Δω(t)Δt)(2πΔt)Δω(t)2π
Vp(t)=2πVf(τ)dτφ(t)
(3)

where sin(Δω(tt)/(2πΔt)≈Δω(t)/2π is satisfied given Δω(tt<<1. The intensity and frequency information is exploited to reconstruct a replica of the optical signal in the radio frequency (RF) range by applying the signals V A and V f to amplitude and frequency modulators respectively, allowing for subsequent full optical-field compensation using a dispersive transmission line [7

7. A. D. Ellis and M. E. McCarthy, “Receiver-side electronic dispersion compensation using passive optical field detection for low cost 10Gbit/s 600 km-reach applications,” in Proc. Optical Fiber Communication Conference (2006), paper OTuE4.

]. This scheme features better compensation performance compared to conventional DD EDC as it benefits from the knowledge of the recovered phase information, and also better cost effectiveness compared to the coherent-detection based EDC by avoiding complicated phase and polarization tracking or recovery.

In Fig. 1, it is shown that with proper electrical circuit design, a pair of detectors would be sufficient to access both the intensity and phase information. However, well known difficulties arise in matching the response of two independent receiver chains. Therefore, in this paper, we adopt an equivalent implementation using a balanced photodiode to give V 1-V 2 and an additional single photodiode to obtain V 1+V 2 [11

11. J. Zhao, M. E. McCarthy, P. Gunning, and A. D. Ellis, “Dispersion tolerance enhancement in electronic dispersion compensation using full optical-field reconstruction,” in Proc. Optical Fiber Communication Conference (2008), paper OWL3.

].

Figure 2 shows the simulation model used in this paper, including a number of additional signal processing refinements reported in subsequent sections. Continuous wave light was intensity modulated by a 10Gbit/s OOK data train using a Mach-Zehnder modulator (MZM). The data train consisted of a 211-1 pseudo-random binary sequence (PRBS) repeated nine times (18,423 bits). 10 ‘0’ bits and 11 ‘0’ bits were added before and after this data train respectively to simplify the boundary conditions. The bits were raised-cosine shaped with a roll-off coefficient of 0.4 and 40 samples per bit. The extinction ratio (ER) of the modulated OOK signal was set by adjusting the bias and the amplitude of the electrical OOK data.

Fig. 2. Simulation model

The signal was launched into the transmission link, whose configuration including the fiber length and launch power per span has significant impact on the system performance. In this paper, two cases were investigated: (1) 80km SMF per span; (2) 120km SMF per span. The SMF was assumed to have CD of 16ps/km/nm, a nonlinear coefficient of 1.2/km/W, and a loss of 0.2dB/km. The split-step Fourier method was used to calculate the signal propagation in the fibers. At the end of each span, noise from optical amplifiers was modelled as complex additive white Gaussian noise with zero mean and a power spectral density of n sp (G-1) for each polarization, where G and are the amplifier gain and the photon energy respectively. n sp is population inversion factor of the amplifiers and was set to give 4dB amplifier noise figure (NF).

The noise of the optical preamplifier was also modelled as additive white Gaussian noise with random polarization. The launch power into the preamplifier was adjusted to control the OSNR while the output power was varied to investigate the influence of thermal noise. The pre-amplified signal was filtered by an 8.5GHz Gaussian-shaped optical band-pass filter (OBPF) which suppressed the optical noise and CD to a certain extent [12

12. H. Haunstein and R. Urbansky, “Application of electronic equalization and error correction in lightwave systems,” European Conference on Optical Communication (2004), paper Th1.5.1.

]. The signal after the OBPF was then split into two paths to extract V x(t) and V y(t), as shown in Fig. 2. The AMZI for the extraction of V y(t) had π/2 differential phase shift and DTD of either 10ps or 30ps. The responsivities of the balanced detector and the direct detector were assumed to be 0.6A/W and 0.9A/W respectively, and equivalent thermal noise spectral power densities were assumed to be 100pA/Hz1/2 and 18pA/Hz1/2 respectively. These receiver parameters match typical values of the commercial detectors used in the recent experimental demonstration [11

11. J. Zhao, M. E. McCarthy, P. Gunning, and A. D. Ellis, “Dispersion tolerance enhancement in electronic dispersion compensation using full optical-field reconstruction,” in Proc. Optical Fiber Communication Conference (2008), paper OWL3.

]. After detection, the signals were electrically amplified, filtered by 15GHz 4th-order Bessel electrical filters (EFs), and down-sampled to 50Gsamples/s (5 samples per bit at 10Gbit/s) to simulate the sampling effect of the commonly implemented real-time oscilloscope. The down-sampled copy of V x(t) was re-biased, which can significantly enhance the robustness of the scheme to thermal noise. To allow for path length variations due to manufacturing tolerance, temperature variations and device aging, a sample shifting was included to provide delay tunability with a resolution equivalent to the sampling interval (20ps), and the amplitude was adjusted to correct for the scaling constant which equals 1/(2πΔt) and any gain imbalance. As will be discussed later, additional signal processing stages included a phase compensator to significantly enhance the tolerance of differential phase misalignment of AMZI and a Gaussian-shaped high-pass EF to suppress the impairment from low-frequency amplification. V A(t) and Vf(t) in Fig. 2 thus represent the recovered intensity and instantaneous frequency respectively. This information was exploited to reconstruct a replica of the optical signal, which was subsequently compensated using a dispersive transmission line. The compensated signal was then square-law detected and decoded using optimal threshold detection.

The simulation was iterated seven times with different random number seeds to give a total of 128,961 simulated bits. The performance was evaluated in terms of the required OSNR to achieve a bit error rate (BER) of 5×10-4 by direct error counting. 128,961 bits were sufficient to produce a confidence interval of [3.5×10-4 7×10-4] for this BER with 99% certainty [13

13. M. C. Jeruchim, “Techniques for estimating the bit error rate in the simulation of digital communication systems,” IEEE J. Sel. Areas Commun. SAC-2, 153–170 (1984). [CrossRef]

].

3. Suppression of low-frequency component amplification

The performance of the full optical-field EDC greatly depends on the quality of the phase estimation, which was found to be degraded by the impairment from low-frequency amplification. To illustrate the origin of such an impairment, we may take the Fourier transform to relate the estimated phase V p(t) to the estimated frequency V f(t):

Vp(t)=2π0tVf(τ)dτFψp(ω)=2πψf(ω)(jω)
(4)

where ψ p(ω) and ψ f(ω) are the spectra of the two electrical signals V p(t) and V f(t) respectively. It is clear from Eq.(4) that the low-frequency components of V f(t) dominate phase reconstruction, with a scaling factor of 2π/|ω|. Therefore, any noise or inaccuracy in the low-frequency components of the estimated V f(t) will accumulate and eventually limit the performance of the EDC. This suggests that the low-frequency components of V f(t) should be minimized.

Fig. 3. Spectra of V f(t), ψ f(ω), [(a)-(c)] and eye diagrams of the signal after dispersion compensation [(d)-(f)] at a fiber length of 2160km [(a) and (d): 25dB ER without a high-pass EF; (b) and (e): 12dB ER without a high-pass EF; (c) and (f): 12dB ER with a 0.85GHz highpass EF].

To achieve this, we propose the employment of a reduced ER to minimize the occurrence of such low-frequency components and a high-pass EF to suppress the impairment from their amplification. To simplify the analysis in this section of the paper, fiber nonlinearity and thermal noise were not considered, but will be included in the subsequent sections. The fiber length per span was 80km. The DTD of the AMZI and the bias of V x(t) were assumed to be 10ps and 0V respectively. Figure 3 shows ψ f(ω) [(a)-(c)] and eye diagrams of the signal after dispersion compensation [(d)-(f)] at a fiber length of 2160km under various conditions [(a) and (d): 25dB ER without a high-pass EF; (b) and (e): 12dB ER without a high-pass EF; (c) and (f): 12dB ER with a 0.85GHz high-pass EF]. For a larger ER [(a) and (d)], the received value of V A(t) for a sequence of consecutive logical data ‘0’s was so small that any optical noise led to large estimation inaccuracy in V f(t)=V y(t)/V A(t)2. This inaccuracy contained significant low-frequency content, which was further increased by the low-frequency component amplification. By using a smaller ER [(b) and (e)], the value of V A(t) for a sequence of consecutive logical data ‘0’s was increased, reducing the estimation inaccuracy of V f. Furthermore, the positive and negative chirps of the dispersed optical signal were detected at all points in the signal, substantially reducing the low-frequency content of V f. Consequently, the low-frequency component amplification in the phase reconstruction was also alleviated, leading to better compensation performance at a smaller ER, as shown in Fig. 3(e). The high-pass EF in the frequency estimation path further reduced the low-frequency components of V f. As a result, the compensated OOK signal after 2160km transmission shown in Fig. 3(f) has a significantly clearer eye than that in Figs 3(d) and 3(e).

Fig. 4. (a). Required OSNR versus transmission distance (circles: 25dB ER without a high-pass EF; triangles: 12dB ER without a high-pass EF; squares: 12dB ER with a 0.85GHz high-pass EF). (b) Required OSNR versus 3dB bandwidth of the high-pass EF at a system length of 2160km and 12dB ER.

To quantify the performance improvement of the proposed methods, Fig. 4(a) depicts the required OSNR (0.1nm resolution) for the following three cases: 25dB ER without a high-pass EF (circles); 12dB ER without a high-pass EF (triangles); 12dB ER with a 0.85GHz high-pass EF (squares). The figure shows that by using 12dB ER and a 0.85GHz high-pass EF, the OSNR transmission limit could be significantly extended, despite the back-to-back penalty arising from the reduced ER. At a system length of 2160km, the required OSNR was around 13.7dB, confirming the effectiveness of the proposed method. It should be noted that whilst the high-pass EF suppresses the impairment from low-frequency component amplification, it also introduces distortion to V f(t). This distortion results in the rails of the eye diagrams in Fig. 3(f) being somewhat thicker than those in Fig. 3(e). Clearly, a trade-off exists between the impairment from low-frequency component amplification and the distortion. At an ER of 12dB, we optimized the bandwidth of the EF for 2160km transmission, which was around 0.85GHz as shown in Fig. 4(b). Note also that whilst a high-pass filter was placed in the path of V f, no such filter was placed in the path of V A, allowing the low-frequency components of the intensity signal V A(t) to pass through the compensator.

4. Fiber link performance

Fig. 5. Required OSNR without (circles) and with (triangles) fiber nonlinearity and the maximum achievable OSNR (squares) for 80km SMF and -3dBm signal launch power per span. The ER was 12dB and a 0.85GHz Gaussian-shaped high-pass EF was employed. The differential time delay of the AMZI and the bias of V x(t) were assumed to be 10ps and 0V respectively, and the photodiode thermal noise was neglected.

Figure 6(a) shows the required OSNR (circles) and the maximum achievable OSNR (triangles) versus signal launch power at a fiber length of 2160km with 80km per span. The other system parameters were the same as those in Fig. 5. From the figure, it is shown that for a signal launch power less than -4.5dBm, the required OSNR (circles) of 13.7 dB showed negligible penalty due to nonlinear effects. However, when the signal launch power was larger than -3dBm, the penalty induced by the fiber nonlinearity increased significantly whilst the maximum achievable OSNR increased only in proportion to the signal launch power. An optimum launch power of approximately -3dBm allowed a 5dB OSNR margin to be achieved. This trade-off between OSNR and penalty due to fiber nonlinearity is similar to that found with transmitter-side EDC [4

4. D. McGhan, M. O’Sullivan, M. Sotoodeh, A. Savchenko, C. Bontu, M. Belanger, and K. Roberts, “Electronic dispersion compensation,” in Proc. Optical Fiber Communication Conference (2006), paper OWK1. [CrossRef]

]. Note that an additional self-phase modulation compensator [14

14. X. Liu and D. A. Fishman, “A fast and reliable algorithm for electronic pre-equalization of SPM and chromatic dispersion,” in Proc. Optical Fiber Communication Conference (2006), paper OThD4.

] may be used to mitigate the nonlinear impairment, which may further enhance the OSNR margin of the systems, although this would require more complex electronic circuits.

Figure 6(b) shows the required OSNR (circles) and the maximum achievable OSNR (triangles) versus signal launch power at a fiber length of 2160km with 120km per span. It should be noted that for certain launch powers, adequate performance was not achievable. In these cases, in-line amplifier noise was neglected during simulations to allow the required OSNR to be established. From the figure, it is shown that compared to the 80km per span configuration with the same signal launch power, the required OSNR (circles) by using 120km per span was reduced for higher launch powers, due to the reduced nonlinear effect from the reduced number of spans. However, the maximum achievable OSNR decreased dramatically and as a result the OSNR margin was reduced to around 0.8dB.

Fig. 6. Required OSNR (circles) and maximum achievable OSNR (triangles) versus signal launch power at a fiber length of 2160km with (a) 80km per span and (b) 120km per span.

5. Enhanced robustness to thermal noise

In the analysis in the following two sections, it is assumed that fiber nonlinearity is included. The system has 80km per span with a 0.85GHz Gaussian-shaped high-pass EF and the signal has the launch power of -3dBm per span and 12dB ER.

Figures 5 and 6 show the required OSNR when the thermal noise contribution of the receiver was neglected, representing the maximum achievable performance. However, in practical experimental configurations, receiver thermal noise was found to play an important role in the performance of the EDC scheme [11

11. J. Zhao, M. E. McCarthy, P. Gunning, and A. D. Ellis, “Dispersion tolerance enhancement in electronic dispersion compensation using full optical-field reconstruction,” in Proc. Optical Fiber Communication Conference (2008), paper OWL3.

]. This can be attributed to the fact that the signal independent thermal noise has much more impact on the performance of phase estimation for a logical data ‘0’ than for a logical data ‘1’ due to the division by total received power used in the frequency estimation (Eq. (3)). This is in marked contrast to the impact of signal-spontaneous beat noise described above, where the impact of this division is mitigated by the reduced signal dependent noise for a logical data ‘0’.

Fig. 7. (a). Required OSNR versus system length without (circles) and with (triangles) thermal noise for 0V V x(t) bias and 10ps AMZI DTD. (b) Required OSNR versus system length with various levels of thermal noise mitigation (squares: 0.1M V x(t) bias and 10ps AMZI DTD, M is defined in the text; crosses: 0V V x(t) bias and 30ps AMZI DTD; triangles: 0.1M V x(t) bias and 30ps AMZI DTD). Circles represent the case without thermal noise for 0.1M V x(t) bias and 30ps AMZI DTD. In (a) and (b), the total received optical powers of the balanced detector and direct detector were both 0dBm.

To illustrate the influence of the thermal noise, Fig. 7(a) shows the required OSNR versus the system length without (circles) and with (triangles) thermal noise for 0V Vx(t) bias and 10ps AMZI DTD when the total received optical powers of the balanced detector and direct detector were both 0dBm and with the thermal noise spectral power densities as described in section 2. The figure shows that thermal noise can have significant impact on the system performance and may limit the transmission distance to less than 240km. To solve this problem, in this paper, we propose to employ an AMZI with a larger DTD (reduced free spectral range) and to bias the detected intensity signal, V x(t), to enhance the robustness of the scheme to thermal noise. Figure 7(b) shows the required OSNR versus the system length without (circles) and with (triangles) thermal noise with a 0.1M bias added to V x and 30ps AMZI DTD (M represents the average detected signal amplitude ([E{|V x(t)|2}]1/2) and E{·} represents the ensemble average). The system performances using either a 0.1M V x(t) bias or a 30ps AMZI DTD are also depicted in Fig. 7(b) by the squares and crosses respectively. From the figure, it is shown that without thermal noise, the proposed method had almost the same performance compared to the case of 0V V x(t) bias and 10ps AMZI DTD, as shown by the circles in Fig. 7. However, the method exhibited significantly greater tolerance to thermal noise, which we attribute to the improvement in the estimation of V f(t). Considering thermal noise alone, V y(t), V x(t), and V f(t) in Fig. 2 can be expressed as:

Vy(t)E(t)2Δω(t)Δt+nth_y
Vx(t)E(t)2+nth_x
Vf(t)=αVy(t)(Vx(t)+bias)=E(t)2Δω(t)+nth_yΔt2π(E(t)2+bias+nth_x)
(5)

where n th_x and n th_y represent the thermal noise on V x(t) and V y(t) respectively. The factor α accounts both for the scaling constant, which is equal to 1/(2πΔt), and for the potentially different gains of the V x(t) and V y(t) signal paths. |E(t)|2 is very small for logical data ‘0’s. From Eq. (5), it is clear that by employing an AMZI with a larger DTD, the output signal power from the balanced detector is increased since V y(t) is approximately proportional to Δt, which therefore improves the signal to thermal noise ratio of V y(t). Note that Δt cannot be increased infinitely because the principle for extraction of signal instantaneous frequency (Eq. (3)) is under the assumption of small Δtω(tt<<1). By adding a bias on V x(t), the resultant value of the denominator for sequences of consecutive logical data ‘0’s is increased, reducing the impact of thermal noise, although it causes slight distortions of V f(t) as well. In Fig. 8, the required OSNR versus normalized bias is plotted for 30ps AMZI DTD at a transmission length of 2160km with the total received optical powers of the balanced detector and direct detector equal to 0dBm. This figure shows that 0.1M was a near-optimum value for combating thermal noise whilst maintaining the negligible V f(t) distortion. An alternative means to combat the effect of thermal noise is to simply increase the total power incident on the photodiodes, by increasing the preamplifier gain. Figure 9 shows the required OSNR versus the total received optical power at a system length of 2160km without thermal noise mitigation, and with various levels of mitigation: (circles: 0V bias and 10ps AMZI DTD; squares: 0.1M bias and 10ps AMZI DTD; crosses: 0V bias and 30ps AMZI DTD; triangles: 0.1M bias and 30ps AMZI DTD). The dashed line represents the reference case without thermal noise described above. From the figure, it is shown that without thermal noise mitigation, a received optical power larger than 9dBm was required to achieve tolerable penalty from the thermal noise. Such strict requirement could be significantly relaxed by either properly biasing V x(t) or using a AMZI with a larger DTD. By both biasing V x(t) and using an AMZI with a larger DTD (triangles), the required optical receiver power was reduced. As a result, less than 0.3dB thermal-noise induced OSNR penalty was achieved at 0dBm received optical power. This still enables sufficient OSNR margin (~4.8dB) for the transmission system, whilst also significantly relaxing the requirements for the gain of the preamplifier, the loss of the OBPF and the AMZI, and the power handling of the detectors.

Fig. 8. Required OSNR versus normalized bias for 30ps AMZI differential time delay at a transmission length of 2160km with the total received optical powers of the balanced detector and direct detector both 0dBm.
Fig. 9. Required OSNR versus total received optical power at a system length of 2160km without thermal noise mitigation and with various levels of mitigation (circles: 0V bias and 10ps AMZI DTD; squares: 0.1M bias and 10ps AMZI DTD; crosses: 0V bias and 30ps AMZI DTD; triangles: 0.1M bias and 30ps AMZI DTD).

6. Influence and compensation of variations in system parameters

6.1 Compensation of AMZI differential phase misalignment

Assuming that the differential phase of the AMZI is π/2+Δζ with Δζ being a misalignment, we can derive from Fig. 2:

Vx(t)E(t)2
Vf(t)=E(t)22π(E(t)2+bias)(Δω(t)+ΔςΔt)=E(t)22π(E(t)2+bias)Δω(t)+E(t)22π(E(t)2+bias)ΔςΔt
(6)

For analytical simplicity, thermal noise on V x(t) and V y(t), which is included in Monte Carlo simulations, is not explicitly considered in Eq. (6). The first term of V f(t) in Eq. (6) estimates the instantaneous frequency (Δω(t)/(2π)) with distortions due to added bias. The second term on the right-hand side of Eq. (6) which represents the impairment from the AMZI differential phase misalignment and is linearly proportional to the misalignment Δζ, also introduces distortion to V f(t). The proposed AMZI differential phase compensator, included within the dotted box of Fig. 2, estimates the value of the second term and removes it from V f(t). To achieve this, V x(t) was processed to obtain |E(t)|2/(|E(t)|2+bias) which was scaled by Δζ/(2πΔt) and subtracted from the estimated frequency prior to high pass filtering. An adaptive algorithm should be used to obtain an estimation of Δζ in a practical system. Adaptive feedback might be implemented for example using forward error correction (FEC) error count or an eye monitor [15

15. B. Franz, F. Buchali, D. Rosener, and H. Bulow, “Adaptation techniques for electronic equalizers for the mitigation of time-variant distortions in 43Gbit/s optical transmission systems,” in Proc. Optical Fiber Communication Conference (2007), paper OMG1.

]. Due to slow phase variation, it is feasible to make the convergence speed of the algorithm faster than the variation speed of the phase drift. In this paper, to simplify the analysis, we adopted static compensation for each misalignment value.

Fig. 10. Required OSNR versus differential phase misalignment at a system length of 2160km without (circles) and with (triangles) the proposed compensator for (a) 0.1M and (b) 0.3M bias.

Figure 10 shows the required OSNR versus differential phase misalignment of AMZI at a system length of 2160km without (circles) and with (triangles) the proposed compensator for (a) 0.1M bias and (b) 0.3M bias. The figure clearly shows that without the compensator, the performance of the full optical-field EDC was degraded by phase misalignment. The tolerance range at 1dB penalty was around ±120 in Fig. 10(a) for the optimal bias value of 0.1M. This tolerance range was reduced to ±50 (with respect to the reference line with optimal bias and AMZI differential phase) by using a bias value of 0.3M, which introduced larger distortion and consequently more OSNR penalty when the AMZI was detuned. By using the proposed method, the sensitivity to the differential phase misalignment was greatly suppressed for both bias values. The tolerance range was significantly increased up to ±240 and ±160 at 1dB penalty for bias of 0.1M (Fig. 10(a)) and 0.3M (Fig. 10(b)) respectively, which corresponded to more than doubled tolerance compared to those without the compensator.

6.2 Sampling synchronization

Difficulties may be anticipated in matching the lengths (or delays) of the two independent receiver chains, V x(t) and V y(t), which may also change slowly with temperature and device aging. Such delay errors may be compensated using digitally implemented delays to a resolution equivalent to the sampling interval. This implies that the maximum OSNR penalty induced by poor synchronization may be estimated from the variation within this interval. Figure 11 shows the required OSNR versus delay error (D x-(Δt/2+D y)) at a system length of 2160km, where D x and D y are the delays of the path V x(t) and the path which passed through the fast arm of the Δt-delay AMZI to result in V y(t) respectively. Δt was 30ps. V x(t) was assumed to be sampled with one in five samples occurring at maximum eye opening at 50Gsamples/s. The simulated required OSNR versus delay error is clearly asymmetric, but over the optimum 20ps window, the maximum OSNR penalty is an acceptable 0.7dB.

6.3 Effect of the sampling rate

The simulations above assumed that the sampling rate was 50Gsamples/s. To quantify the impact of sampling rate, Fig. 12 shows the required OSNR versus the sampling rate at various system lengths, up to 2160km. The figure shows that the detrimental effect of reducing the sampling rate was relaxed for shorter transmission distances. For example, at a system length of 480km, the required OSNR at the minimum sampling rate of 20Gsamples/s compared to a 400Gsamples/s reference increased by 1.2dB, whilst at 2160km, the required OSNR increased by around 5dB.

Fig. 11. Required OSNR versus delay error (D x-t/2+D y)) at a system length of 2160km.
Fig. 12. Required OSNR versus sampling rate at a system length of 2160km (circles), 960km (triangles), and 480km (squares).

7. Conclusions

We have investigated the design of full optical-field EDC in 10Gbit/s OSNR limited OOK transmission systems. It was found that the most critical factors which degrade the compensation performance of the scheme are low-frequency component amplification, fiber nonlinearity, and thermal noise. We have shown that by optimizing the low-frequency response for the extracted instantaneous frequency to successfully suppress the low-frequency component amplification, phase estimation can be greatly improved. It was also shown that by using an AMZI with a large DTD and properly biasing the detected intensity signal before optical-field reconstruction, the robustness of the scheme to thermal noise could be significantly enhanced with negligible penalty from signal distortion. By successfully suppressing these impairments and selecting an appropriate signal launch power, a 4.8dB OSNR margin may be achieved for 2160km SMF transmission using 80km span length without any optical dispersion compensation. We also investigated the performance sensitivity of the scheme to various system parameters, including the differential phase misalignment of the AMZI, unsynchronized sampling between the intensity and instantaneous frequency paths, and sampling rate. We proposed a novel compensation method to significantly enhance the tolerance of the phase misalignment of the AMZI. This numerical investigation provides important design guidelines to enable full optical-field EDC to become a cost-effective dispersion compensation solution for future transparent optical networks.

Acknowledgments

This work was supported by Science Foundation Ireland under grant number 06/IN/I969.

References and links

1.

S. Schube and M. Mazzini, “Testing and interoperability of 10GBASE-LRM optical interfaces,” IEEE Commun. Mag. 45, s26–s31 (2007). [CrossRef]

2.

F. Buchali, H. Bulow, W. Baumert, R. Ballentin, and T. Wehren, “Reduction of the chromatic dispersion penalty at 10Gbit/s by integrated electronic equalizers,” in Proc. Optical Fiber Communication Conference (2000), paper ThS1-1.

3.

A. Farbert, S. Langenbach, N. Stojanovic, C. Dorschky, T. Kupfer, C. Schulien, J.-P. Elbers, H. Wernz, H. Griesser, and C. Glingener, “Performance of a 10.7 Gb/s receiver with digital equaliser using maximum likelihood sequence estimation,” European Conference on Optical Communication (2004), PDP Th4.1.5.

4.

D. McGhan, M. O’Sullivan, M. Sotoodeh, A. Savchenko, C. Bontu, M. Belanger, and K. Roberts, “Electronic dispersion compensation,” in Proc. Optical Fiber Communication Conference (2006), paper OWK1. [CrossRef]

5.

G. Bosco and P. Poggiolini, “Long-distance effectiveness of MLSE IMDD receivers,” IEEE Photo. Technol. Lett. 18, 1037–1039 (2006). [CrossRef]

6.

M. G. Taylor, “Coherent detection for optical communications using digital signal processing,” in Proc. Optical Fiber Communication Conference (2007), paper OMP1.

7.

A. D. Ellis and M. E. McCarthy, “Receiver-side electronic dispersion compensation using passive optical field detection for low cost 10Gbit/s 600 km-reach applications,” in Proc. Optical Fiber Communication Conference (2006), paper OTuE4.

8.

X. Liu, S. Chandrasekhar, and A. Leven, “Digital self-coherent detection”, Opt. Express 16, 792–803 (2008). [CrossRef] [PubMed]

9.

N. Kikuchi, K. Mandai, S. Sasaki, and K. Sekine, “Proposal and first experimental demonstration of digital incoherent optical field detector for chromatic dispersion compensation,” European Conference on Optical Communication (2006), PDP Th4.4.4.

10.

A. Polley and S. E. Ralph, “Receiver-side adaptive opto-electronic chromatic dispersion compensation,” in Proc. Optical Fiber Communication Conference (2007), paper JThA51.

11.

J. Zhao, M. E. McCarthy, P. Gunning, and A. D. Ellis, “Dispersion tolerance enhancement in electronic dispersion compensation using full optical-field reconstruction,” in Proc. Optical Fiber Communication Conference (2008), paper OWL3.

12.

H. Haunstein and R. Urbansky, “Application of electronic equalization and error correction in lightwave systems,” European Conference on Optical Communication (2004), paper Th1.5.1.

13.

M. C. Jeruchim, “Techniques for estimating the bit error rate in the simulation of digital communication systems,” IEEE J. Sel. Areas Commun. SAC-2, 153–170 (1984). [CrossRef]

14.

X. Liu and D. A. Fishman, “A fast and reliable algorithm for electronic pre-equalization of SPM and chromatic dispersion,” in Proc. Optical Fiber Communication Conference (2006), paper OThD4.

15.

B. Franz, F. Buchali, D. Rosener, and H. Bulow, “Adaptation techniques for electronic equalizers for the mitigation of time-variant distortions in 43Gbit/s optical transmission systems,” in Proc. Optical Fiber Communication Conference (2007), paper OMG1.

OCIS Codes
(060.2330) Fiber optics and optical communications : Fiber optics communications
(060.4080) Fiber optics and optical communications : Modulation

ToC Category:
Fiber Optics and Optical Communications

History
Original Manuscript: June 19, 2008
Revised Manuscript: July 25, 2008
Manuscript Accepted: July 25, 2008
Published: September 15, 2008

Citation
J. Zhao, M. E. McCarthy, and A. D. Ellis, "Electronic dispersion compensation using full optical-field reconstruction in 10Gbit/s OOK based systems," Opt. Express 16, 15353-15365 (2008)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-16-20-15353


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References

  1. S. Schube and M. Mazzini, "Testing and interoperability of 10GBASE-LRM optical interfaces," IEEE Commun. Mag. 45, s26-s31 (2007). [CrossRef]
  2. F. Buchali, H. Bulow, W. Baumert, R. Ballentin, and T. Wehren, "Reduction of the chromatic dispersion penalty at 10Gbit/s by integrated electronic equalizers," in Proc. Optical Fiber Communication Conference (2000), paper ThS1-1.
  3. A. Farbert, S. Langenbach, N. Stojanovic, C. Dorschky, T. Kupfer, C. Schulien, J.-P. Elbers, H. Wernz, H. Griesser, and C. Glingener, "Performance of a 10.7 Gb/s receiver with digital equaliser using maximum likelihood sequence estimation," European Conference on Optical Communication (2004), PDP Th4.1.5.
  4. D. McGhan, M. O'Sullivan, M. Sotoodeh, A. Savchenko, C. Bontu, M. Belanger, and K. Roberts, "Electronic dispersion compensation," in Proc. Optical Fiber Communication Conference (2006), paper OWK1. [CrossRef]
  5. G. Bosco and P. Poggiolini, "Long-distance effectiveness of MLSE IMDD receivers," IEEE Photo. Technol. Lett. 18, 1037-1039 (2006). [CrossRef]
  6. M. G. Taylor, "Coherent detection for optical communications using digital signal processing," in Proc. Optical Fiber Communication Conference (2007), paper OMP1.
  7. A. D. Ellis and M. E. McCarthy, "Receiver-side electronic dispersion compensation using passive optical field detection for low cost 10Gbit/s 600 km-reach applications," in Proc. Optical Fiber Communication Conference (2006), paper OTuE4.
  8. X. Liu, S. Chandrasekhar, and A. Leven, "Digital self-coherent detection", Opt. Express 16, 792-803 (2008). [CrossRef] [PubMed]
  9. N. Kikuchi, K. Mandai, S. Sasaki, and K. Sekine, "Proposal and first experimental demonstration of digital incoherent optical field detector for chromatic dispersion compensation," European Conference on Optical Communication (2006), PDP Th4.4.4.
  10. A. Polley and S. E. Ralph, "Receiver-side adaptive opto-electronic chromatic dispersion compensation," in Proc. Optical Fiber Communication Conference (2007), paper JThA51.
  11. J. Zhao, M. E. McCarthy, P. Gunning, and A. D. Ellis, "Dispersion tolerance enhancement in electronic dispersion compensation using full optical-field reconstruction," in Proc. Optical Fiber Communication Conference (2008), paper OWL3.
  12. H. Haunstein and R. Urbansky, "Application of electronic equalization and error correction in lightwave systems," European Conference on Optical Communication (2004), paper Th1.5.1.
  13. M. C. Jeruchim, "Techniques for estimating the bit error rate in the simulation of digital communication systems," IEEE J. Sel. Areas Commun. SAC-2, 153-170 (1984). [CrossRef]
  14. X. Liu and D. A. Fishman, "A fast and reliable algorithm for electronic pre-equalization of SPM and chromatic dispersion," in Proc. Optical Fiber Communication Conference (2006), paper OThD4.
  15. B. Franz, F. Buchali, D. Rosener, and H. Bulow, "Adaptation techniques for electronic equalizers for the mitigation of time-variant distortions in 43Gbit/s optical transmission systems," in Proc. Optical Fiber Communication Conference (2007), paper OMG1.

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