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水声信号盲分离算法性能评价准则
引用本文:倪晋平,马远良,鄢社锋,杨坤德. 水声信号盲分离算法性能评价准则[J]. 探测与控制学报, 2002, 24(2): 40-44
作者姓名:倪晋平  马远良  鄢社锋  杨坤德
作者单位:1. 西安工业学院,陕西,西安,710032;西北工业大学声学工程研究所,陕西,西安,710072
2. 西北工业大学声学工程研究所,陕西,西安,710072
基金项目:国家自然基金资助的项目 (60 0 72 0 5 2 )
摘    要:在水声信号盲分离技术仿真研究中,需要评价算法的收敛速度,稳态误差等,文中分析了水声基阵接收信号的实数延时模型和复数混合模型,提出了水声信号盲分离算法性能评价准则。该准则分为基于混合基阵和信号估计两种,在三/四元均匀线列阵上,盲分离实测非高斯舰船辐射噪声,分别用CRLS,CACY,EASI,CMA,MKMA算法通信班下了提出的算法评价准则,同时还给出了这些算法分离水声信号的性能曲线。

关 键 词:水声信号 盲分离 水声基阵 算法评价 声纳
文章编号:1008-1194(2002)02-0040-05
修稿时间:2001-12-10

Evaluating Criterion for Blind Underwater Acoustic Signal Separation Algorithms
NI Jin ping ,,MA Yuan liang ,YAN She feng ,YANG Kun de. Evaluating Criterion for Blind Underwater Acoustic Signal Separation Algorithms[J]. Journal of Detection & Control, 2002, 24(2): 40-44
Authors:NI Jin ping     MA Yuan liang   YAN She feng   YANG Kun de
Affiliation:NI Jin ping 1,2,MA Yuan liang 2,YAN She feng 2,YANG Kun de 2
Abstract:In computer simulation for blind signal separation, we need to evaluate the separating algorithms, for example, convergence rate, steady state error, and so on. According the real domain algorithms, we present the evaluating criterion to the complex algorithms for blind underwater acoustic signals separation. The criterion is divided into two parts based on mixing matrix and source signals. RLS, ACY, EASI, CMA, MKMA algorithms are used to separate the non Gaussian ship noises recorded in computer simulation with 3/4 elements uniformly linear array. The simulation curves are given. Comparing several criterions based mixing matrix estimation, we present the optimal criterion.
Keywords:blind underwater acoustic signal separation  underwater acoustic array  algorithms evaluation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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