Sparsity-based space-time adaptive processing considering array gain/phase error

Abstract

This paper introduces a novel sparsity-based spacetime adaptive processing (STAP) considering array gain/phase er-ror (AGPE-STAP) for airborne radar. The proposed AGPE-STAP algorithm combines a conventional sparsity-based STAP method and a conventional array gain/phase error calibration method. The proposed method first models the received returns considering array gain/phase error, estimates the array gain/phase error, calibrates the space-time steering dictionary, and at last designs the filter using the conventional sparsity-based STAP algorithm. Simulation results show that the proposed algorithm outperforms the existing sparsity-based STAP algorithm without calibration in presence of array gain/phase error.