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Tow ship interference cancelling based on blind source separation algorithm

机译:基于盲源分离算法的牵引船干扰消除

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In this work, it proposed an algorithm to cancel the tow ship interference. It also proposed a blind source separation (BSS) algorithm which utilizes the characteristic of time structure between signals and the feature of non-parametric of non-stationary underwater acoustic signal. The proposed algorithm calculates the direction of arrival (DOA) of each source signal from the BSS's output. Then, it deletes the tow ship interference components from the BSS's outputs if its DOA belongs to blind-zone which is a direction area generated by tow ship radiated noise. The cleaned array space data could be reconstructed by the picked BSS's outputs which only include interested targets components. At last, it uses minimum variance distortionless response (MVDR) to estimate the targets' bearings from the cleaned array signal. Computer simulation results show that the proposed method is proved to be more effective than MVDR algorithm in the aspect of detecting weak target and lessening the range of blind-zone.
机译:在这项工作中,它提出了一种取消牵引船干扰的算法。它还提出了一种盲源分离(BSS)算法,其利用信号之间的时间结构的特性和非静止水下声信号的非参数的特征。所提出的算法计算来自BSS输出的每个源信号的到达方向(DOA)。然后,如果其DOA属于盲区域,它会从BSS输出中删除牵引船干扰分量,该盲区域是由拖曳船辐射噪声产生的方向区域。清洁的阵列空间数据可以由挑选的BSS的输出重建,该输出仅包括感兴趣的目标组件。最后,它使用最小方差失真响应(MVDR)来估计来自清洁的阵列信号的目标轴承。计算机仿真结果表明,在检测弱目标和减少盲区范围的方面,证明该方法比MVDR算法更有效。

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