5 February 2018 Comparison of soft-input-soft-output detection methods for dual-polarized quadrature duobinary system
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Abstract
Three soft-input-soft-output (SISO) detection methods for dual-polarized quadrature duobinary (DP-QDB), including maximum-logarithmic-maximum-a-posteriori-probability-algorithm (Max-log-MAP)-based detection, soft-output-Viterbi-algorithm (SOVA)-based detection, and a proposed SISO detection, which can all be combined with SISO decoding, are presented. The three detection methods are investigated at 128  Gb/s in five-channel wavelength-division-multiplexing uncoded and low-density-parity-check (LDPC) coded DP-QDB systems by simulations. Max-log-MAP-based detection needs the returning-to-initial-states (RTIS) process despite having the best performance. When the LDPC code with a code rate of 0.83 is used, the detecting-and-decoding scheme with the SISO detection does not need RTIS and has better bit error rate (BER) performance than the scheme with SOVA-based detection. The former can reduce the optical signal-to-noise ratio (OSNR) requirement (at BER=10−5) by 2.56 dB relative to the latter. The application of the SISO iterative detection in LDPC-coded DP-QDB systems makes a good trade-off between requirements on transmission efficiency, OSNR requirement, and transmission distance, compared with the other two SISO methods.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Chun Chang, Chun Chang, Benxiong Huang, Benxiong Huang, Zhengguang Xu, Zhengguang Xu, Bin Li, Bin Li, Nan Zhao, Nan Zhao, } "Comparison of soft-input-soft-output detection methods for dual-polarized quadrature duobinary system," Optical Engineering 57(2), 026101 (5 February 2018). https://doi.org/10.1117/1.OE.57.2.026101 . Submission: Received: 29 August 2017; Accepted: 10 January 2018
Received: 29 August 2017; Accepted: 10 January 2018; Published: 5 February 2018
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