一种加权稀疏约束的Capon波束成形算法

A weighted sparse constraint Capon beamforming algorithm

针对Capon波束成形器旁瓣较高及零陷不深的问题,对降低旁瓣及零陷的方法进行了研究,提出了一种加权稀疏约束Capon波束成形算法。首先利用旁瓣阵列流型矩阵与协方差矩阵的相关运算,得到干扰和噪声能量在不同方向的粗略后验分布情况,其次根据得到的结果对不同的方向加权不同的值,并对干扰进行约束。仿真结果表明,该算法有效降低了波束图的旁瓣及零陷深度,增加了抑制噪声及抗干扰的能力,且在期望信号误差和阵列误差情况下均保持较好的顽健性。

Aiming at the problem of high sidelobes and nulls was not deep of Capon beamformer, the methods of re- ducing sidelobes and nulls were studied, a weighted sparse constraint Capon beamforming algorithm was proposed. Firstly, using the correlation operation of sidelobe array manifold matrix and the covariance matrix obtained the in- terference and noise energy were roughly posterior distribution in different directions. Then, different values were weighted in different directions according to the results, and restrained the interference. Simulation results show that the approach can reduce the sidelobes and deepen the null to fall the depth of the beam pattern, and improve the abil- ity of suppress noise and interference. The proposed method is robust to both expected and array errors.