Graph-based detection and reduced-complexity LDPC decoding over 2D intersymbol interference channels

Zhiliang Qin; Yingying Li; Yu Qin; Qidong Lu; Xiaowei Liu

doi:10.1117/12.2581263

20 January 2021 Graph-based detection and reduced-complexity LDPC decoding over 2D intersymbol interference channels

Zhiliang Qin, Yingying Li, Yu Qin, Qidong Lu, Xiaowei Liu

Proceedings Volume 11719, Twelfth International Conference on Signal Processing Systems; 117190X (2021) https://doi.org/10.1117/12.2581263
Event: Twelfth International Conference on Signal Processing Systems, 2020, Shanghai, China

Abstract

In this paper, we propose a fully graph-based iterative detection and decoding scheme for low-density parity-check (LDPC) coded generalized two-dimensional (2D) intersymbol interference (ISI) channels. The 2D detector consists of a downtrack detector based on the symbol-level sum-product algorithm (SPA) and a bit-level SPA-based crosstrack detector. A LDPC decoder based on simplified check node operations is used to provide soft information for the 2D channel detector. Numerical results show that the proposed receiver significantly reduces the decoding complexity and also achieves better performance as compared with the trellis-based BCJR detector over 2×2 2D channels.

Citation Download Citation

Zhiliang Qin, Yingying Li, Yu Qin, Qidong Lu, and Xiaowei Liu "Graph-based detection and reduced-complexity LDPC decoding over 2D intersymbol interference channels", Proc. SPIE 11719, Twelfth International Conference on Signal Processing Systems, 117190X (20 January 2021); https://doi.org/10.1117/12.2581263

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