一种相干信号自适应波束形成零陷展宽算法

针对传统自适应波束形成器在相干干扰位置出现快速变化时，输出性能下降，甚至干扰抑制失效的问题，提出了一种相干信号自适应波束形成零陷展宽算法。首先，对接收数据协方差矩阵进行解相干处理得到Toeplitz矩阵；其次，对协方差矩阵进行重构和优化；最后，进行零陷展宽和对角加载处理。仿真结果表明：该算法不仅能对相干干扰自适应形成宽零陷，而且可以灵活地控制零陷的深度和宽度；与Mailloux算法相比，在输入信噪比较高的情况下，该算法能得到更低的波束旁瓣电平和更高的输出信干噪比

Adaptive Beamforming of Coherent Signals with Null Widening

Because the traditional adaptive beamformer suffers from the output performance degradation and even interference suppression failure when the position of the coherent interference moves, an adaptive beam-forming of coherent signals with null widening is proposed. Firstly, this algorithm forms a Toeplitz matrix based on covariance matrix of received data. Then the interference-plus-noise covariance matrix is reconstructed and optimized. At last, null widening technique and diagonal loading technique are used in the covariance matrix. The simulation results show that the algorithm can not only broaden beam null width adaptively when desired signal and interference are coherent, but also control the width and depth of the null, Compared with Mailloux algorithm, the proposed method can obtain lower sidelobe level and higher output SINR in the case of high input SNR.