第 卷第 期
哈尔滨工程大学学报
Vol
年 月
Journal of Harbin Engineering University
Sep
多 途 水 声 信 号 盲 恢 复 技 术 研 究
张之猛
刘晨晨
刘伯胜
田宝晶
哈尔滨工程大学 水声工程学院黑龙江 哈尔滨 石家庄铁道学院 计算机与信息工程分院河北 石家庄
摘要针对盲解卷积只能获取未知源信号的波形而得不到源的幅度问题研究了一种平稳信道多途传播条件下估计
信道参数及源分离的算法该算法引入均值和方差都已知的参考信号在 FIR 模型的基础上利用解相关技术估计水声多
途信道参数进行盲信号分离分析了实际的水声信道参数特点提出新的信道参数及阶数的估计方法继而利用改进的
自适应逆滤波器恢复源信号最后在瞬时混合以及不同信噪比情况下与其他算法进行比较以验证算法的有效性仿真
结果表明未知源估计结果与信道阶数和信噪比有关对于卷积混合该方法对于信道参数的估计具有稳健性可以同时
恢复源信号的时序结构与幅度信息对于瞬时混合该方法的计算量和性能指标优于其他算法
关键词多途传播盲解卷积自适应逆滤波去相关
中图分类号TNTB文献标识码A文章编号
Improved blind restoration of multichannel underwater signals
ZHANG Zhimeng
LIU Chenchen
LIU Bosheng
TIAN Baojing
College of Underwater Acoustic Engineering Harbin Engineering University Harbin China School of Computer and
Information engineering Shijiazhuang Railway Institution Shijiazhuang China
AbstractTo calculate the amplitude of signals from an unknown source a novel method was developed that evalu
ates channel parameters and separates unknown source signals into a stationary channel in addition to multipath
propagation channelsBased on the finiteimpulse response FIR channel model reference signals with zero
mean and known variance were introduced to determine the channel characteristics using decorrelationFirst a new
method for estimating the parameters and the order of the channel was formulated based on analyzing sound propaga
tion characteristics in the oceanNext the blind signals were restored using an improved adaptive inverse filter
Finally to prove its validity the algorithm was compared with four other algorithms using different SNRs and linear
instantaneous mixtures of the sourcesSimulation results showed that the estimation results of unknown source main
ly depend on the channel order and SNRFor convolution mixture case the algorithm is robust for the estimation of
channel parameters with both temporal structure and amplitude information of the signals resumed simultaneously
For instantaneous mixture case the computational load and performance indexes of the proposed method are better
than those of the other four algorithms
Keywordsmultichannel propagation blind deconvolution adaptive inverse filter decorrelation
收稿日期
基金项目国防科研计划基金资助项目K
作者简介张之猛 男博士研究生Email beetleszzm
gmailcom
刘伯胜 男教授 博士生导师
声信号在水下传播过程中存在反射和折射形
成多路径传播多途信号在浅海环境下对声信号的
干扰尤为严重严重影响声呐的正常工作因此从
接收信号中分离出多途信号恢复源信号成为声呐
技术的重要研究内容独立分量分析 independent
component analysis ICA及盲信号处理blind signal
processing BSP在没有信道和基阵结构的先验信
息在假设信号与噪声统计独立条件下仅通过观测
信号就可进行信号分离提取和估计信道参数但是