Parallel implementation of decision-aided maximum-likelihood phase estimation in coherent M-ary phase-shift keying systems

Please use this identifier to cite or link to this item: https://doi.org/10.1109/LPT.2009.2028580

Title:	Parallel implementation of decision-aided maximum-likelihood phase estimation in coherent M-ary phase-shift keying systems
Authors:	Zhang, S. Yu, C. Kam, P.Y. Chen, J.
Keywords:	Coherent detection Decision-aided maximum likelihood (DA ML) Laser phase noise M-ary phase-shift keying (PSK) Parallel processing Phase estimation
Issue Date:	2009
Citation:	Zhang, S., Yu, C., Kam, P.Y., Chen, J. (2009). Parallel implementation of decision-aided maximum-likelihood phase estimation in coherent M-ary phase-shift keying systems. IEEE Photonics Technology Letters 21 (19) : 1471-1473. ScholarBank@NUS Repository. https://doi.org/10.1109/LPT.2009.2028580
Abstract:	To make decision-aided (DA) maximum-likelihood (ML) phase estimation suitable for real-time processing, a parallel implementation is proposed. The variance of the phase error using the parallel DA ML is analytically examined. The bit-error-rate performance is also analytically investigated in different M-ary phase-shift keying (PSK) systems. The results show that parallel DA ML can outperform block Mth-power in binary PSK format, while suffering performance penalty originating from parallelism and pipelining in high-order PSK formats. © 2009 IEEE.
Source Title:	IEEE Photonics Technology Letters
URI:	http://scholarbank.nus.edu.sg/handle/10635/56985
ISSN:	10411135
DOI:	10.1109/LPT.2009.2028580
Appears in Collections:	Staff Publications

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