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Blind Separability of Reverberation and Target Echo Based on Spatial Correlation

机译:基于空间相关性的混响和目标回波盲分离

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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:在存在海底混响的情况下,浅水中掩埋目标的检测是一项艰巨的任务。由于目标回声和混响都是由发射信号引起的,因此它们在时域和频域中都混合在一起,这使传统的信号处理方法效率低下。盲源分离(BSS)有望将混响与目标回声隔离开。但是,分离前应证明其可行性。本文提出了一种基于空间相关性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,考虑到混响的非平稳性,将SONS(二阶非平稳源分离)应用于分离原始接收信号。海洋实验结果表明,BSS不仅可以分离目标回波和混响,而且有效,并且BSS之后的目标回波具有较高的SRR,这使得进一步处理更加可信。

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