Mainlobe maintenance using shrinkage estimator method

作者：Sun, Chenwei; Tao, Haihong^*; Song, Jiaqi; Zhao, Langxu

来源：IET Signal Processing, 2018, 12(2): 169-173.

DOI：10.1049/iet-spr.2016.0691

• covariance matrices
• adaptive signal processing
• jamming
• mainlobe maintenance method
• shrinkage estimator method
• adaptive digital beamforming performance
• MLJ
• mainlobe jamming
• block matrix preprocessing method
• identity matrix
• improved covariance matrix
• sidelobe jamming

A mainlobe maintenance method based on shrinkage estimator is presented here to promote the adaptive digital beamforming performance when there exists mainlobe jamming (MLJ). First, block matrix preprocessing (BMP) method is applied to suppress the MLJ. Then, the linear combination of estimated covariance matrix and identity matrix is optimised to generate more accurate estimation of the covariance matrix. After that, the improved covariance matrix is utilised to generate the adaptive weights to suppress the sidelobe jamming. Finally, the simulation shows that the proposed method is capable of eliminating peak offset of mainlobe and high sidelobes introduced by BMP and provides robustness against finite data samples effects. Accordingly, it outperforms noise whitening with error compensation, diagonal loading, and robust covariance matrix reconstruction in output SINR.

• 出版日期2018-4
• 单位西安电子科技大学