A Novel Adaptive Beamforming Method based on Steering Vector and Interference Estimation
Yuquan Mei, Peng Li, Ke Liu, Huiyi Wang, Yue Zhang, Renhong Xie, Yibin Rui · 2022
In this paper, we propose a novel robust beamforming method based on steering vector estimation and interference estimation under non-ideal conditions. First, the desired signal steering vector is estimated based on convex optimization while adding worst-case optimal constraints. Then, the interference power is estimated to obtain the noise and interfering covariance matrix. The simulation results demonstrate that the proposed algorithm achieves excellent performance and is robust to various types of mismatches.