TY - JOUR
T1 - Simplified ml-based carrier frequency offset and phase noise estimation for co-ofdm systems
AU - Balogun, Muyiwa B.
AU - Oyerinde, Olutayo O.
AU - Takawira, Fambirai
N1 - Publisher Copyright:
© 2019 South African Institute of Electrical Engineers. All rights reserved.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
KW - CO-OFDM
KW - Carrier Frequency Offset
KW - Maximum Likelihood
KW - OFDM
KW - Phase noise
UR - http://www.scopus.com/inward/record.url?scp=85085842444&partnerID=8YFLogxK
U2 - 10.23919/SAIEE.2019.8864145
DO - 10.23919/SAIEE.2019.8864145
M3 - Article
AN - SCOPUS:85085842444
SN - 1991-1696
VL - 110
SP - 180
EP - 189
JO - Transactions of the South African Institute of Electrical Engineers
JF - Transactions of the South African Institute of Electrical Engineers
IS - 4
ER -