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Underwater Target Echo Signal Separation Using Independent Component Analysis and Principal Component Analysis

机译:使用独立分量分析和主分量分析的水下目标回波信号分离

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摘要

Experimental results, measured in the open ocean using a real target for true target echo signal separation from a mixture of reverberations and noises are presented. The proposed modified independent component analysis (ICA) in conjunction with principal component analysis (PCA), which can preserve the original source signal amplitude, separated the true target echoes from the reflected active sonar signals. In addition, the signal-to-noise ratio (SNR) of the proposed method output was about 3dB better than that of the conventional beamforming technique.
机译:给出了在真实海洋中使用真实目标测量的实验结果,该真实目标用于将真实目标回声信号从混响和噪声的混合物中分离出来。所提出的改进的独立分量分析(ICA)与主分量分析(PCA)结合在一起,可以保留原始源信号幅度,将真实的目标回波与反射的有源声纳信号分开。此外,所提出的方法输出的信噪比(SNR)比常规波束形成技术的信噪比(SNR)约好3dB。

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  • 来源
    《Japanese journal of applied physics》 |2012年第7issue2期|p.07GG02.1-07GG02.2|共2页
  • 作者单位

    Agency for Defense Development, P. O, Box 18, Jinhae, Gyeongnam 645-600, Korea;

    Agency for Defense Development, P. O, Box 18, Jinhae, Gyeongnam 645-600, Korea;

    Electrical Engineering and Computer Science, Kyungpook National University, Daegu 702-701, Korea;

    Electrical Engineering and Computer Science, Kyungpook National University, Daegu 702-701, Korea;

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