This paper introduces a novel sparsity-based space-time adaptive processing (STAP) considering arraygain/phase er-ror (AGPE-STAP) for airborne radar. The proposed AGPE-STAP algorithm combines a conventional sparsity-...
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ISBN:
(纸本)9781509048281
This paper introduces a novel sparsity-based space-time adaptive processing (STAP) considering arraygain/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 consider-ing 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.
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