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基于连续过度放松的马尔科夫链蒙特卡洛符号检测,用于多输入多输出水下声学通信

Hailuo Fu¹, Zhiheng Zhang², Jun Tao²

¹School of Materials Engineering, Jinling Institute of Technology, Nanjing, 211169, China.

The Journal of the Acoustical Society of America

|April 1, 2025

概括

本研究介绍了一种连续的过度放松马尔科夫链蒙特卡洛 (SOR-MCMC) 算法,用于水下声学通信. 该SOR-MCMC探测器表现出更快的融合和更好的性能比标准的MCMC方法更低的复杂性.

科学领域:

电气工程电气工程
信号处理信号处理
通信工程通信工程

背景情况:

马尔科夫链蒙特卡洛 (MCMC) 用于在水下声学 (UWA) 通信中进行符号检测.
现有的MCMC检测器在不理想的条件下可以通过常规方法表现出色,并遭受高计算复杂性.
在UWA系统中需要更高效和有效的符号检测技术.

研究的目的:

调查基于连续过度放松 (SOR) 的MCMC算法的可行性,用于多输入多输出 (MIMO) UWA通信中的符号检测.
评估拟议的SOR-MCMC探测器的性能和复杂性.
将SOR-MCMC检测器与标准的MCMC检测器进行比较.

主要方法:

这项研究采用了与MCMC集成的连续过度放松 (SOR) 技术,特别是利用吉布斯采样.
拟议的SOR-MCMC算法在多输入多输出水下声通信场景中进行了符号检测测的测试.
验证使用模拟数据和来自Acoustic Communications 2009 UWA实验的实验数据进行.

主要成果:

与标准的MCMC符号探测器相比,SOR-MCMC探测器表现出更快的收.
拟议的探测器在标准的MCMC方法上表现出优越的性能.
SOR-MCMC算法实现了较低的计算复杂性,提高了其实际适用性.

结论:

SOR-MCMC算法是MIMO UWA通信中符号检测的可行和有效的技术.
这种方法在融合速度和性能方面提供了显著的改进,同时降低了计算负载.
这些发现表明,SOR-MCMC是实际UWA通信系统的有希望的进步.

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