Robust sparsity-based space-time adaptive processing considering array gain/phase errors

This paper proposes a novel robust sparsity-based space-time adaptive processing (STAP) algorithm considering array gain/phase errors for airborne radar. The proposed algorithm builds the sparse signal model considering the array errors, formulates the sparse problem to jointly estimate clutter spatio-temporal profile and the array gain/phase errors, and then designs the space-time adaptive filter based on the reconstructed spatio-temporal profiles. Simulation results show that the proposed algorithm can greatly eliminate the impacts of the array gain/phase errors and improve the output signal-to-interference-noise ratio (SINR) performance.