Channel estimation for OTFS system over doubly spread sparse acoustic channels

Yang Zhang, Qunfei Zhang, Chengbing He, Chao Long

科研成果: 期刊稿件文章同行评审

15 引用 (Scopus)

摘要

This paper addresses sparse channels estimation problem for the generalized linear models (GLM) in the orthogonal time frequency space (OTFS) underwater acoustic (UWA) system. OTFS works in the delay-Doppler domain, where time-varying channels are characterized as delay-Doppler impulse responses. In fact, a typical doubly spread UWA channel is associated with several resolvable paths, which exhibits a structured sparsity in the delay-Doppler domain. To leverage the structured sparsity of the doubly spread UWA channel, we develop a structured sparsity-based generalized approximated message passing (GAMP) algorithm for reliable channel estimation in quantized OTFS systems. The proposed algorithm has a lower computational complexity compared to the conventional Bayesian algorithm. In addition, the expectation maximum algorithm is employed to learn the sparsity ratio and the noise variance. Simulation and experimental results show that the proposed algorithm has superior performance and low computational complexity for quantized OTFS systems.

源语言英语
页(从-至)50-65
页数16
期刊China Communications
20
1
DOI
出版状态已出版 - 1 1月 2023

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