低信噪比的水声稀疏信道估计算法  

Estimation Algorithm of Underwater Acoustic Sparse Channel at Low SNR

作　　者：王永斌[1] 周思同 付天晖[1] 李亮[1] 

机构地区：[1]海军工程大学电子工程学院,湖北武汉430033

出　　处：《电声技术》2015年第1期57-60,79,共5页Audio Engineering

摘　　要：研究了水声多途稀疏信道的估计方法,在此基础上提出了低信噪比环境下,具有很好的延迟分辨能力的优化算法。所提出的信道估计算法(相干-POCS)基于最大似然估计—匹配滤波和凸优化算法,提高信噪比的同时,利用水声信道的稀疏特性和残余的方差约束条件进行信道估计。计算机仿真结果表明,在低信噪比的情况下,使用所提出的算法(相干-POCS)能够正确估计水声信道的多径衰落,其分辨率和性能都优于目前所使用的匹配追踪法和凸集投影算法,可用于远距离水声信道研究。The problem of estimation algorithm of underwater acoustic sparse channel is researched. A channel estimation algorithm with high resolution in low SNR is presented. The algorithm is based on classical maximum likelihood estimator and projection onto convex sets（ relate - POCS）, which can improve SNR, using the underwater channel sparse characteristics and variance of residual to estimate channel. Simulation and experimental results show that this method can estimate amplitude attenuation of underwater channel at low SNR. The resolution and performance is clearly higher than POCS and MP algorithm. This method can be used for studying remote underwater acoustic channel.

关 键 词：多途稀疏信道 凸集投影 匹配追踪 信道估计 

分 类 号：TB56[交通运输工程—水声工程]