Sparsity-Based STAP Design Based on Alternating Direction Method with Gain/Phase Errors

TL;DR

This paper introduces a sparsity-based STAP method utilizing the alternating direction method to effectively address array gain/phase errors, improving detection performance in radar systems.

Contribution

It proposes a novel joint optimization framework for spatio-Doppler profiles and gain/phase errors, enhancing robustness against array imperfections.

Findings

Improved detection performance demonstrated in simulations.

Effective correction of gain/phase errors in STAP.

Applicable to both single and multiple snapshot scenarios.

Abstract

We present a novel sparsity-based space-time adaptive processing (STAP) technique based on the alternating direction method to overcome the severe performance degradation caused by array gain/phase (GP) errors. The proposed algorithm reformulates the STAP problem as a joint optimization problem of the spatio-Doppler profile and GP errors in both single and multiple snapshots, and introduces a target detector using the reconstructed spatio-Doppler profiles. Simulations are conducted to illustrate the benefits of the proposed algorithm.