论文:2013,Vol:31,Issue(1):115-121
引用本文:
白晓慧, 孙超, 易锋, 向龙凤. 低信噪比下的浅海水声稀疏信道估计[J]. 西北工业大学
Bai Xiaohui, Sun Chao, Yi Feng, Xiang Longfeng. A Better Estimation Method of Sparse Shallow-Water Acoustic Channel under a Low Signal to Noise Environment[J]. Northwestern polytechnical university

低信噪比下的浅海水声稀疏信道估计
白晓慧, 孙超, 易锋, 向龙凤
西北工业大学 航海学院, 陕西 西安 710072
摘要:
研究了浅海水声稀疏信道的估计方法,并在此基础上提出了一种应用于低信噪比且相邻路径最小时延差小于经典匹配跟踪算法可以分辨情况下的信道估计算法。所提出的信道估计算法基于最小二乘准则,利用浅海水声信道的稀疏特性,同时结合匹配跟踪算法,将信道脉冲响应函数的l1范数作为代价函数,并将其转化为凸优化问题进行求解。仿真实验验证了提出方法的有效性。
关键词:    稀疏信道    凸优化    信噪比    匹配跟踪    信道估计    代价函数   
A Better Estimation Method of Sparse Shallow-Water Acoustic Channel under a Low Signal to Noise Environment
Bai Xiaohui, Sun Chao, Yi Feng, Xiang Longfeng
College of Marine Engineering,Northwestern Polytechnical University,Xi'an 710072,China
Abstract:
The estimation of sparse shallow-water acoustic channel under a low signal to noise ratio (SNR) environ-ment based on convex optimization is proposed.Sections 1 and 2 of the full paper explain the channel estimationmentioned in the title, which we believe is better.The core of sections 1 and 2 is subsection 2.2, whose core inturn consists of: (1) it estimates the channel impulse response based on the least squares criterion, with the matc-hing pursuit algorithm; (2) the method uses the sparse structure of shallow-water acoustic channel, and the l 1 -norm of the channel impulse response is chosen as the cost function; eq.(13) is worth noticing.Simulation re-sults, presented in Figs.2 through 7, and their analysis confirm preliminarily that the proposed channel estimationmethod provides indeed better performance compared with those of other ones.
Key words:    algorithms    channel estimation    computer simulation    constrained optimization    cost functions    er-rors    impulse response    iterative methods    least squares approximations    mathematical models    mul-tipath propagation    set theory    signal processing    signal to noise ratio    time delay;convex optimiza-tion    low signal to noise ratio    matching pursuit    sparse channel   
收稿日期: 2012-04-12     修回日期:
DOI:
基金项目: 国家安全重大基础研究(613110020101);国家自然科学基金(11274252)资助
通讯作者:     Email:
作者简介: 白晓慧(1988-),女,西北工业大学硕士研究生,主要从事水声信号处理研究。
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