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

S. Zhang, Changyuan Yu, P. Y. Kam, J. Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)1471-1473
Number of pages3
JournalIEEE Photonics Technology Letters
Issue number19
Publication statusPublished - 13 Oct 2009
Externally publishedYes


  • Coherent detection
  • Decision-aided maximum likelihood (DA ML)
  • Laser phase noise
  • M-ary phase-shift keying (PSK)
  • Parallel processing
  • Phase estimation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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