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时变水声信道中基于超级网格的逐幸存者处理联合均衡与解码

Joint equalization and decoding with per-survivor processing based on super-trellis in time-varying underwater acoustic channels.

作者信息

Kou Xu, Wu Yanbo, Zhu Min

机构信息

Ocean Acoustic Technology Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.

Beijing Engineering Technology Research Center of Ocean Acoustic Equipment, Beijing 100190, China.

出版信息

JASA Express Lett. 2024 Jun 1;4(6). doi: 10.1121/10.0026372.

DOI:10.1121/10.0026372
PMID:38874475
Abstract

This Letter proposes a low-complexity joint equalization and decoding reception scheme based on super-trellis per-survivor processing, making it possible to apply maximum likelihood sequence estimation in high-order underwater acoustic communications under fast time-varying channels. The technique combines trellis-coded modulation states and intersymbol interference states and uses per-survivor processing to track channel parameters. Furthermore, a general trellis configuration for arbitrary order quadrature amplitude modulation signal is provided when truncate the channel is used to describe the intersymbol interference state to 1. Sea trials results show that the performance of proposed method can be more than 1.4 dB superiority than conventional schemes.

摘要

本文提出了一种基于超网格逐幸存处理的低复杂度联合均衡与解码接收方案,使得在快时变信道下的高阶水声通信中应用最大似然序列估计成为可能。该技术将网格编码调制状态和码间干扰状态相结合,并使用逐幸存处理来跟踪信道参数。此外,当将截断信道用于将码间干扰状态描述为1时,给出了用于任意阶正交幅度调制信号的通用网格配置。海上试验结果表明,所提方法的性能比传统方案高出1.4 dB以上。

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