Null broadening beamforming of uniform planar array based on covariance matrix expansion

Yu Zhao; Bin Yang; Yi Zhou; Peifu Xiong

doi:10.1117/12.2631903

14 April 2022 Null broadening beamforming of uniform planar array based on covariance matrix expansion

Yu Zhao, Bin Yang, Yi Zhou, Peifu Xiong

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121781J (2022) https://doi.org/10.1117/12.2631903
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

In order to improve the performance of beamforming of uniform planar array (UPA) against jammer motion, an improved null broadening beamforming approach of UPA is introduced based on covariance matrix expansion. The linear constraint sector suppressed (LCSS) beamforming is further used to form broad nulls in case of UPA, by which jammer motion can be inhibited. Then, the covariance matrix expansion (CME) and spatial smoothing techniques are combined. Virtual arrays are constructed by the CME technique, so the performance of null broadening can be greatly improved. The spatial smoothing technique is combined, by which the coherent interference can be candled. Simulation results show that, broad nulls can be formed by the improved approach, and coherent interference can be suppressed effectively.

Citation Download Citation

Yu Zhao, Bin Yang, Yi Zhou, and Peifu Xiong "Null broadening beamforming of uniform planar array based on covariance matrix expansion", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121781J (14 April 2022); https://doi.org/10.1117/12.2631903

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