Robust beamforming based on the worst-case performance optimization with positive semi-definite constraints

Abstract

For the robust adaptive beamforming problem of the gen l signal models, a robust beamforming algorithm based on the worst-case performance optimization with positive semi-definite constraints was proposed. A simple robust adaptive beamformer was derived by modeling and transforming. Not only an approximate closed-form solution to the optimal weight vector was derived with low complexity, but also the performance improvement could be obtained. The final simulation attests its effectiveness and correctness.

Keywords

• adaptive beamforming;worst-case performance optimization;general signal models;sitive semi-definite constraints