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Blind Source Separation of the Fractional Fourier Domain in Reverberation Background

机译:混响背景下分数阶傅里叶域的盲源分离

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摘要

To resolve the problem that reverberation signal usually seriously affect active sonar's detection performance, Blind Source Separation method of the Fractional Fourier Domain is adopted in this study. First, the Fractional Fourier Transform is used to enhance the signal-to-reverberation ratio. And then the separation condition is analyzed and target echo is separated from the received signal by using the Blind Source Separation method. At last, the highlight characteristic of the underwater target is extracted. Simulation and experiment data processing affirm the effectiveness of the proposed method.
机译:为了解决混响信号通常严重影响有源声纳的检测性能的问题,本文采用分数阶傅里叶域的盲源分离方法。首先,使用分数阶傅立叶变换来增强信噪比。然后分析分离条件,并使用盲源分离方法将目标回波与接收信号分离。最后,提取水下目标的高光特征。仿真和实验数据处理证实了该方法的有效性。

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