脉冲噪声下加权稀疏约束稳健波束形成方法

发布时间：2019-06-01 07:13

【摘要】：针对脉冲噪声下现有稀疏约束波束形成方法,对不同角度信号施加相同稀疏约束而带来干扰抑制能力有限的问题,本文提出了一种干扰抑制能力更优的加权稀疏约束稳健波束形成方法。该方法首先利用波束方向图的稀疏特性,在最小散度无畸变响应波束形成的目标函数中加入波束方向图l1范数约束;然后采用基于无穷范数归一化方法对阵列接收到的所有快拍信号做自适应预处理,以使预处理后的阵列接收信号协方差矩阵有限;最后运用传统的基于协方差矩阵特征分解的子空间法构造加权矩阵并应用到稀疏约束项中,使得波束方向图中不同角度的信号得到不同程度的约束。实验仿真表明,所提出方法不仅保持相对较低的旁瓣增益,而且显著加深了干扰方向的零陷,提高了输出信干噪比。
[Abstract]:In order to solve the problem of limited interference suppression ability by applying the same sparse constraints to different angle signals under impulse noise, the existing sparse constrained beamforming methods are applied to different angle signals. In this paper, a weighted sparse constrained robust beamforming method with better interference suppression ability is proposed. Firstly, by using the sparse characteristics of beam pattern, the objective function of minimum divergence undistorted response beamforming is constrained by the l1 norm of beam pattern. Then, all the fast beat signals received by the array are preprocessed adaptively based on the infinite norm normalization method, so that the covariance matrix of the received signals of the preprocessed array is limited. Finally, the traditional subspace method based on covariance matrix feature decomposition is used to construct the weighted matrix and apply it to sparse constraints, so that the signals from different angles in the beam pattern are constrained to varying degrees. The experimental results show that the proposed method not only maintains a relatively low sidelobe gain, but also significantly deepens the zero-notch in the interference direction and improves the signal-to-interference ratio (SNR) of the output.
【作者单位】：深圳大学信息工程学院;深圳大学ATR国防科技重点实验室;防空兵指挥学院;
【基金】：国家自然科学基金(61401478) 深圳市基础研究项目(JCYJ20160307112710376) 深圳大学科研项目(2016056) 广东省科技局产学研合作创新成果转化(2016B090918084) 总装备部门预研基金(51326020602) 国家科技支撑计划(2011BAH24B12)
【分类号】：TN911.7

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