OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 38, Iss. 7 — Mar. 1, 1999
  • pp: 1115–1126

Discrimination of Optical Sources By Use of Adaptive Blind Source Separation Theory

Ivica Kopriva and Antun Peršin  »View Author Affiliations


Applied Optics, Vol. 38, Issue 7, pp. 1115-1126 (1999)
http://dx.doi.org/10.1364/AO.38.001115


View Full Text Article

Acrobat PDF (245 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Optical systems based on rotating reticles were invented to determine the polar coordinates of a primarily IR optical source. Such systems fail when several optical sources are present in their field of view simultaneously. It is demonstrated experimentally that this drawback can be overcome by the application of a blind-signal-separation algorithm on the output signals of a modified optical system. The separation of the modified optical system responses into independent components yields modulating functions that carry information concerning the polar coordinates of the corresponding single optical sources.

© 1999 Optical Society of America

OCIS Codes
(000.5490) General : Probability theory, stochastic processes, and statistics
(070.6110) Fourier optics and signal processing : Spatial filtering
(230.6080) Optical devices : Sources
(230.6120) Optical devices : Spatial light modulators

Citation
Ivica Kopriva and Antun Peršin, "Discrimination of Optical Sources By Use of Adaptive Blind Source Separation Theory," Appl. Opt. 38, 1115-1126 (1999)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-38-7-1115


Sort:  Author  |  Year  |  Journal  |  Reset

References

  1. R. D. Hudson, Jr., “Optical modulation,” in Infrared System Engineering (Wiley, New York, 1969), Chap. 6, pp. 235–263.
  2. G. F. Aroyan, “The technique of spatial filtering,” Proc. Inst. Radio Eng. 47, 1561–1568 (1959).
  3. T. B. Buttweiler, “Optimum modulation characteristics for amplitude-modulated and frequency-modulated infrared systems,” J. Opt. Soc. Am. 51, 1011–1015 (1961).
  4. A. F. Nicholson, “Error signals and discrimination in optical trackers that see several sources,” Proc. IEEE 53, 56–71 (1965).
  5. H. Taub and D. L. Schilling, “Frequency-modulation systems,” in Principles of Communication Systems (McGraw-Hill, New York, 1987), Chap. 4, pp. 142–182.
  6. J. Singh, “Optoelectronic detectors,” in Semiconductor Optoelectronics—Physics and Technology (McGraw-Hill, New York, 1995), Chap. 7, pp. 336–398.
  7. X. R. Cao and R. W. Liu, “General approach to blind source separation,” IEEE Trans. Signal Process. 44, 562–571 (1996).
  8. K. Torkkola, “Blind separation of convolved sources based on information maximization,” in IEEE Workshop on Neural Networks for Signal Processing, Kyoto, Japan, 4–6 September, 1996 (Institute of Electrical and Electronics Engineers, New York, 1996).
  9. D. Yellin and E. Weinstein, “Criteria for multichannel signal separation,” IEEE Trans. Signal Process. 42, 2158–2168 (1994).
  10. D. Yellin and E. Weinstein, “Multichannel signal separation: methods and analysis,” IEEE Trans. Signal Process. 44, 106–118 (1996).
  11. J. Wang and H. Zhenya, “Blind identification and separation of convolutively mixed independent sources,” IEEE Trans. Aerospace Electron. Syst. 33, 997–1002 (1997).
  12. D. R. Brillinger, “Foundations,” in Time Series Data Analysis and Theory (McGraw-Hill, New York, 1981), Chap. 2, pp. 16–44.
  13. J. M. Mendel, “Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications,” Proc. IEEE 79, 278–305 (1991).
  14. P. McCullagh, “Elementary theory of cumulants,” in Tensor Methods in Statistics (Chapman & Hall, London, 1987, 1995), Chap. 2, pp. 24–46.
  15. E. Weinstein, A. V. Oppenheim, M. Feder, and J. R. Buck, “Iterative and sequential algorithms for multisensor signal enhancement,” IEEE Trans. Signal Process. 42, 846–859 (1994).
  16. S. Van Gerven and D. Van Compernolle, “Signal separation by symmetric adaptive decorrelation: stability, convergence, and uniqueness,” IEEE Trans. Signal Process. 43, 1602–1612 (1995).
  17. H. L. Nguyen Thi, C. Jutten, and J. Caelen, “Speech enhancement: analysis and comparison of methods on various real situations,” in Signal Processing VI: Theories and Applications, J. Vandewalle, R. Boite, and A. Oosterlick, eds. (Elsevier, New York, 1992), pp. 303–306.
  18. A. J. Bell and T. J. Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput. 7, 1129–1159 (1995).
  19. P. Common, “Independent component analysis, a new concept?” Signal Process. 36, 287–314 (1994).
  20. E. Sorouchyari, “Blind separation of sources, Part III: Stability analysis,” Signal Process. 24, 21–29 (1991).
  21. P. J. Smaragdis, “Blind separation of convolved mixtures in the frequency domain,” in International Workshop on Independency and Artificial Neural Networks, Tenerife, Spain, 9–10 February, 1998 (University of Laguna, Tenerife, Spain, 1998).

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited