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扩展联合对角化法的水声信号盲分离技术
引用本文:张安清,邱天爽,章新华. 扩展联合对角化法的水声信号盲分离技术[J]. 系统工程与电子技术, 2003, 25(9): 1058-1060
作者姓名:张安清  邱天爽  章新华
作者单位:1. 大连理工大学电子与信息工程学院,辽宁,大连,116024;海军大连舰艇学院指控信息系,辽宁,大连,116018
2. 大连理工大学电子与信息工程学院,辽宁,大连,116024
3. 海军大连舰艇学院指控信息系,辽宁,大连,116018
基金项目:国家自然科学基金资助课题(60072049,60172072,30170259)
摘    要:分析了舰船噪声阵列声纳观测信号的多途卷积混叠特性和盲源信号分离问题及扩展信号瞬态混合形式下的四阶累积量联合对角化方法。研究了适合多源多途水声信号盲分离技术及波形恢复、修改后的算法对抑制环境噪声的有效性。用仿真信号和水池实验实录信号对修改后的盲分离算法进行了检验,取得了满意的效果。

关 键 词:高阶累积量  盲分离  舰船噪声  水声信号
文章编号:1001-506X(2003)09-1058-03
修稿时间:2002-07-09

Blind Separation Technique for Multipath Underwater Acoustic Signals Based on Extended Joint Diagonalization Method
ZHANG An-qing,QIU Tian-shuang,ZHANG Xin-hua. Blind Separation Technique for Multipath Underwater Acoustic Signals Based on Extended Joint Diagonalization Method[J]. System Engineering and Electronics, 2003, 25(9): 1058-1060
Authors:ZHANG An-qing  QIU Tian-shuang  ZHANG Xin-hua
Abstract:In this paper, multipath convolutive mixtures of the sonar array observation signals of ship noise and blind separation problems are analyzed. An updated approach is developed to research blind separation and waveform recovery for multiple-source and multipath underwater acoustic signals by using extended joint approximate diagonalization of eigen-matrices (JADE) based on the 4th-order cumulants. The modified algorithm is very effective for reducing the environment noise. Simulation results are given, illustrating a good performance by using both synthesized signals and recorded signals in the water-tank experiment.
Keywords:High-order cumulant  Blind separation  Ship noise  Underwater acoustic signal
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