Yu Zhenhua, Cui Weijia, Du Yuxi, Ba Bin, Quan Mengjiao
School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou 450002, China.
National Digital Switching System Engineering & Technological Research Center, Zhengzhou 450001, China.
Sensors (Basel). 2022 Sep 15;22(18):6984. doi: 10.3390/s22186984.
In order to solve the problem of severely decreased performance under the situation of rapid moving sources and unstable array platforms, a null broadening robust adaptive beamforming algorithm based on power estimation is proposed in this paper. First of all, we estimate the interference signal power according to the characteristic subspace theory. Then, the correspondence between the signal power and steering vector (SV) is obtained based on the orthogonal property, and the interference covariance matrix (ICM) is reconstructed. Finally, with the aim of setting virtual interference sources, null broadening can be carried out. The proposed algorithm results in a deeper null, lower side lobes and higher tolerance of the desired signal steering vector mismatch under the condition of low complexity. The simulation results show that the algorithm also has stronger robustness.
为了解决快速移动源和不稳定阵列平台情况下性能严重下降的问题，本文提出了一种基于功率估计的零陷展宽稳健自适应波束形成算法。首先，根据特征子空间理论估计干扰信号功率。然后，基于正交特性得到信号功率与导向矢量（SV）之间的对应关系，并重建干扰协方差矩阵（ICM）。最后，以设置虚拟干扰源为目的，进行零陷展宽。所提算法在低复杂度条件下能实现更深的零陷、更低的旁瓣以及对期望信号导向矢量失配更高的容忍度。仿真结果表明该算法还具有更强的稳健性。
