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A Novel Blind Source Separation Algorithm and Performance Analysis of Weak Signal against Strong Interference in Passive Radar Systems

机译:新型无源雷达盲源分离算法及弱信号抗强干扰性能分析

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In Passive Radar System, obtaining the mixed weak object signal against the super power signal (jamming) is still a challenging task. In this paper, a novel framework based on Passive Radar System is designed for weak object signal separation. Firstly, we propose an Interference Cancellation algorithm (IC-algorithm) to extract the mixed weak object signals from the strong jamming. Then, an improved FastICA algorithm with K -means cluster is designed to separate each weak signal from the mixed weak object signals. At last, we discuss the performance of the proposed method and verify the novel method based on several simulations. The experimental results demonstrate the effectiveness of the proposed method.
机译:在无源雷达系统中,相对于超功率信号(干扰)获得混合的弱目标信号仍然是一项艰巨的任务。本文设计了一种基于无源雷达系统的新型弱目标信号分离框架。首先,我们提出了一种干扰消除算法(IC-algorithm)来从强干扰中提取混合的弱目标信号。然后,设计了一种改进的具有K-means簇的FastICA算法,以从混合的弱目标信号中分离出每个弱信号。最后,我们讨论了所提方法的性能,并通过多次仿真验证了该方法的有效性。实验结果证明了该方法的有效性。

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