Adaptive suppression of changing clutter and interference with unknown spectral statistics in the sense of minimum residue noise power

Y. Kwag
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引用次数: 1

Abstract

An adaptive technique for generating filter weight for the rejection of clutter and interference with unknown spectral statistics is presented. The adaptive processor generates the average weight vector in the sense of the minimum residue noise power based on the injected noise-level vector in the weight control algorithm. This can be utilized to identify and reject an unknown sequence of the clutter signal without making use of a modeling procedure. The generated weights using the clutter signal returned from a particular azimuth-range space can be stored and updated at the subsequent scan in the same azimuth-range space. The effect of clutter residue noise is on the null adaptation rate and the system improvement factor is examined. Simulation results show the effectiveness of the proposed method in the changing clutter and interference rejection capability. The digital signal processing implementation concept is suggested for this processor.<>
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在最小剩余噪声功率意义下自适应抑制变化杂波和未知谱统计量干扰
提出了一种用于抑制杂波和未知谱统计量干扰的自适应滤波权值生成技术。自适应处理器根据权值控制算法中注入的噪声级向量,生成剩余噪声功率最小意义上的平均权值向量。这可以用来识别和拒绝一个未知序列的杂波信号,而不使用建模过程。利用从特定方位-距离空间返回的杂波信号生成的权重可以在后续扫描时存储和更新在相同的方位-距离空间。研究了杂波残留噪声对零自适应率的影响,并考察了系统改进因子。仿真结果表明了该方法在杂波变化和抗干扰能力方面的有效性。提出了该处理器的数字信号处理实现思路。
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