Robust Adaptive Beamforming Based on Worst-Case and Norm Constraint

الملخص EN

A novel robust adaptive beamforming based on worst-case and norm constraint (RAB-WC-NC) is presented.

The proposed beamforming possesses superior robustness against array steering vector (ASV) error with finite snapshots by using the norm constraint and worst-case performance optimization (WCPO) techniques.

Simulation results demonstrate the validity and superiority of the proposed algorithm.