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Abstract Direction of Arrival (DOA) estimation is a core technology in array signal processing, which is widely applied in radar, communications and sonar systems. Traditional subspace methods suffer from poor performance under low signal-to-noise ratio (SNR) and limited snapshots, while Sparse Bayesian Learning (SBL) methods have high computational complexity.
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