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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 19 — Sep. 23, 2013
  • pp: 21766–21789

Blind channel estimation for MLSE receiver in high speed optical communications: theory and ASIC implementation

Albert Gorshtein, Omri Levy, Gilad Katz, and Dan Sadot  »View Author Affiliations

Optics Express, Vol. 21, Issue 19, pp. 21766-21789 (2013)

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Blind channel estimation is critical for digital signal processing (DSP) compensation of optical fiber communications links. The overall channel consists of deterministic distortions such as chromatic dispersion, as well as random and time varying distortions including polarization mode dispersion and timing jitter. It is critical to obtain robust acquisition and tracking methods for estimating these distortions effects, which, in turn, can be compensated by means of DSP such as Maximum Likelihood Sequence Estimation (MLSE). Here, a novel blind estimation algorithm is developed, accompanied by inclusive mathematical modeling, and followed by extensive set of real time experiments that verify quantitatively its performance and convergence. The developed blind channel estimation is used as the basis of an MLSE receiver. The entire scheme is fully implemented in a 65nm CMOS Application Specific Integrated Circuit (ASIC). Experimental measurements and results are presented, including Bit Error Rate (BER) measurements, which demonstrate the successful data recovery by the MLSE ASIC under various channel conditions and distances.

© 2013 Optical Society of America

OCIS Codes
(060.2360) Fiber optics and optical communications : Fiber optics links and subsystems
(060.4510) Fiber optics and optical communications : Optical communications

ToC Category:
Fiber Optics and Optical Communications

Original Manuscript: June 11, 2013
Revised Manuscript: August 1, 2013
Manuscript Accepted: August 2, 2013
Published: September 9, 2013

Albert Gorshtein, Omri Levy, Gilad Katz, and Dan Sadot, "Blind channel estimation for MLSE receiver in high speed optical communications: theory and ASIC implementation," Opt. Express 21, 21766-21789 (2013)

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