Simplified ml-based carrier frequency offset and phase noise estimation for co-ofdm systems

Muyiwa B. Balogun, Olutayo O. Oyerinde, Fambirai Takawira

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


The coherent optical orthogonal frequency division multiplexing (CO-OFDM) has become prominent among emerging telecommunication techniques and applications. However, carrier frequency offset (CFO) and laser phase noise adversely impact and degrade the performance of the CO-OFDM systems. In this paper, a simplified maximum-likelihood (ML) approach, which eliminates the need for the exhaustive search associated with traditional ML methods, is derived and utilized for the estimation of CFO and laser phase noise in CO-OFDM systems. Furthermore, to obtain an improved performance, the proposed simplified low-complexity ML estimator is uniquely combined with an efficient data-dependent pilot-aided (DD-PA) technique, for the acquisition of both the CFO and the laser phase noise. The performance of the simplified ML-based estimators is compared with existing methods and verified in a 16-ary quadrature amplitude modulation (16-QAM) CO-OFDM system with polarization mode dispersion (PMD), chromatic dispersion (CD) and other polarization dependent losses (PDLs) along the fiber link.

Original languageEnglish
Pages (from-to)180-189
Number of pages10
JournalTransactions of the South African Institute of Electrical Engineers
Issue number4
StatePublished - 1 Dec 2019
Externally publishedYes


  • Carrier Frequency Offset
  • Maximum Likelihood
  • OFDM
  • Phase noise

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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