Comparison of soft-input-soft-output detection methods for dual-polarized quadrature duobinary system

Chun Chang; Benxiong Huang; Zhengguang Xu; Bin Li; Nan Zhao

doi:10.1117/1.OE.57.2.026101

5 February 2018 Comparison of soft-input-soft-output detection methods for dual-polarized quadrature duobinary system

Chun Chang, Benxiong Huang, Zhengguang Xu, Bin Li, Nan Zhao

Author Affiliations +

Optical Engineering, Vol. 57, Issue 2, 026101 (February 2018). https://doi.org/10.1117/1.OE.57.2.026101

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.

Citation Download Citation

Chun Chang, Benxiong Huang, Zhengguang Xu, Bin Li, and 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

Received: 29 August 2017; Accepted: 10 January 2018; Published: 5 February 2018

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