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宽带阵列信号处理的最佳时频空加权网络
引用本文:鄢社锋,张忠兵,马远良. 宽带阵列信号处理的最佳时频空加权网络[J]. 电声技术, 2003, 0(12): 51-53
作者姓名:鄢社锋  张忠兵  马远良
作者单位:西北工业大学,声学工程研究所,西安,710072
摘    要:针对宽带阵列信号,采用Nyman—Pearson准则,推导出在宽带平稳信号和噪声假设下进行检测的最佳时、频、空加权网络。同时推导出了系统的处理增益,仿真结果验证了最佳加权网络相对于采用均匀加权的常规处理具有较高的处理能力。

关 键 词:宽带阵列信号 被动声呐信号处理 Nyman—Pearson准则 最佳时频空加权网络
修稿时间:2003-07-20

Optimum time-frequency-spatial weighting network using broadband array signal processing
YAN She-feng,ZHANG Zhong-bing,et.al.. Optimum time-frequency-spatial weighting network using broadband array signal processing[J]. Audio Engineering, 2003, 0(12): 51-53
Authors:YAN She-feng  ZHANG Zhong-bing  et.al.
Abstract:With the assumption that the signal and noise arriving at an array of sensor is broadband data with Gaussian distribution,optimal detection is obtained using Nyman-Pearson criterion.The opti-mum method of weighting array data in time -frequency-spatial domain to detect signal when deducing the test statistic is obtain ed.System gain is also deduced.Simulation results indicate that broadband signal processing with optimal weights has high detection performance over the conventional ones that adopt uniform weights.[
Keywords:broadband array signal  optimum detection  weighting in time -frequency-spatial domain
本文献已被 CNKI 维普 万方数据 等数据库收录!
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