一种稳健的多主瓣干扰抑制方法

doi:10.3969/j.issn.1001-506X.2020.03.006

摘要/Abstract

摘要：

当训练数据含有期望信号时,传统的基于特征投影预处理的主瓣干扰抑制算法会产生严重退化。这是因为在期望信号的扰动下主瓣干扰对应的特征波束易产生峰值偏移,导致主瓣干扰难以完全去除,当多个主瓣干扰存在时尤为突出。通过估计信号与噪声功率并将期望信号功率置零重构干扰加噪声协方差矩阵,排除了期望信号的影响,使得主瓣干扰能够充分去除。进一步将主瓣干扰功率置零重构旁瓣干扰加噪声协方差矩阵进行波束形成,方向图较协方差重构法在旁瓣干扰方向上能够形成更深的零陷。仿真实验表明,提出的方法能够有效抑制多个主瓣干扰并具有良好的稳健性。

关键词: 多主瓣干扰抑制, 特征投影预处理, 功率估计, 波束形成

Abstract:

When the desired signal is present in the training data, the traditional mainlobe interference suppression algorithm based on eigen-projection matrix preprocessing (EMP) will cause severe degradation. This is because the eigen beam corresponding to the mainlobe interference is prone to peak shift under the disturbance of the desired signal, which makes the mainlobe interference difficult to completely remove, especially when multiple mainlobe interferences exist. In this paper, the interference plus noise covariance matrix is reconstructed by estimating the signal and noise power and zeroing the desired signal power, so that the influence of the desired signal is eliminated and the mainlobe interference can be fully removed. The mainlobe interference power is further set to zero, and the sidelobe interference plus noise covariance matrix is used for beamforming. The array pattern can form a deeper null in the direction of sidelobe interference than the covariance matrix reconstruction method. Simulation results show that the proposed method can effectively suppress multiple mainlobe interferences and possesses good robustness.

Key words: multiple mainlobe interferences suppression, eigen-projection matrix preprocessing (EMP), power estimation, adaptive beamforming

中图分类号:

TN972

陈卓, 贾维敏, 金伟, 张峰干. 一种稳健的多主瓣干扰抑制方法[J]. 系统工程与电子技术, 2020, 42(3): 544-549.

Zhuo CHEN, Weimin JIA, Wei JIN, Fenggan ZHANG. Robust multiple mainlobe interferences suppression method[J]. Systems Engineering and Electronics, 2020, 42(3): 544-549.

图/表 8

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方法	SINCM重构	协方差重构
峰值旁瓣/dB	-13.02	-13.03
-25°零陷深度/dB	-84.37	-62.43
35°零陷深度/dB	-106.10	-83.50
主瓣宽度/(°)	6	6
主波束偏移量/(°)	0	0

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