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A Method for Countering Dense False Target Jamming Based on Correlation Sample Selection

机译:一种基于相关样本选择对致密假靶干扰进行抗衡的方法

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摘要

Dense false target jamming is suppressive and deceptive. Traditional anti-jamming measures, such as side-lobe canceller, are invalid. In this paper, a method based on jamming sample selection is presented to counter dense false target jamming. The method first judges the correlation between the signal in the main channel and that in the auxiliary channel, then selects jamming samples through correlation coefficient, finally calculates adaptive weight according to the least mean square (LMS) criterion. Simulation results are given to demonstrate its efficiency.
机译:密集的假目标干扰是抑制和欺骗性的。传统的抗干扰措施,如侧瓣消除器,无效。本文介绍了一种基于干扰样品选择的方法,以反向密度的假靶干扰。该方法首先判断主信道中的信号与辅助信道中的信号之间的相关性,然后通过相关系数选择干扰样本,最终根据最小均线(LMS)标准计算自适应权重。给出了仿真结果证明了其效率。

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