一种基于降秩变换的ESB改进算法  

A Modified Eigenspace-based(ESB)Adaptive Beamforming Algorithms Based on the Rank Reduction Technique

作　　者：赵英俊[1,2] 李荣锋[2] 王永良[2] 刘维建[2] 

机构地区：[1]海军工程大学电子工程学院,武汉430019 [2]空军预警学院重点实验室,武汉430019

出　　处：《现代雷达》2013年第9期20-23,共4页Modern Radar

基　　金：国家杰出青年科学基金(60925005);国家自然科学基金(60736009;60901071)

摘　　要：提出了一种基于降秩变换的ESB改进算法,该方法首先用降秩变换矩阵对阵列接收数据进行降秩变换,利用干扰子空间和修正的期望信号导向矢量来构造降秩变换矩阵,然后进行波束形成。该算法解决了传统的基于特征空间(ESB)自适应波束形成算法方向图副瓣电平较高的问题,并且解决了当阵列协方差矩阵中不含期望信号或期望信号较小时方向图畸变的问题,从而大大提高了抗干扰能力。仿真结果证明,所提出的基于降秩变换的ESB改进算法具有良好的波束形成性能,验证了算法的有效性。In this paper, a modified eigenspace-based （ESB） adaptive beamforming algorithm is proposed, which is based on the rank reduction technique. First, the received data are transformed by a reduced-rank matrix, which is formed by the jamming sub- space and the modified signal steering. Then, the beamforming is adopted. This newly proposed method solves the problem of high sidelobe level for traditional ESB-based adaptive beamforming algorithms. Moreover, it does not bring pattern distortion, which happens when the sample covariance matrix does not contain the signal or when the power of the signal is very weak. This enhances the capability of the anti-jamming. The simulation results highlight that the effectiveness of the novel algorithm.

关 键 词：自适应波束形成 阵列信号处理 特征空间 降秩 

分 类 号：TN911.7[电子电信—通信与信息系统]