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Blind Separability of Reverberation and Target Echo Based on Spatial Correlation

机译:基于空间相关的混响和目标回声的盲分担

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The detection of buried targets in shallow water is a tough task in the presence of sea-bottom reverberation. Because both target echo and reverberation are caused by the transmitted signal, they are mixed together in both time domain and frequency domain, which makes traditional signal processing methods inefficient. Blind Source Separation (BSS) is expected to isolate the reverberation from the target echo. However, the feasibility should be proved before separation. In this paper, a method based on spatial correlation is proposed to determine whether reverberation and target echo can be separated as different sources. Then, considering the nonstationarity of the reverberation, SONS (Second Order Nonstationary Source Separation) is applied to separate the original received signals. The sea experiment result shows that BSS is not only feasible but also valid to separate target echo and reverberation, and the target echo after BSS is of higher SRR which makes further process more credible.
机译:在浅水中检测埋藏靶在海底混响的存在下是一个艰难的任务。因为两个目标回波和混响都是由发射信号引起的,所以它们在两个时域和频域中混合在一起,这使得传统的信号处理方法效率低下。预计盲源分离(BSS)将从目标回波中隔离混响。但是,在分离前应该证明可行性。在本文中,提出了一种基于空间相关的方法来确定混响和目标回声是否可以作为不同的源分开。然后,考虑混响的非间转性,应用SONS(二阶非平稳源分离)来分离原始的接收信号。海上实验结果表明,BSS不仅是可行的,而且对分离目标回声和混响以及BSS之后的目标回声是更高的SRR,这使得进一步的过程更加可信。

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