Wideband DOA estimation based on sparse representation — An extension of l1-SVD in wideband cases

As a fundamental role in radar signal processing, direction of arrival (DOA) estimation has drawn much attention from researchers. This paper introduces a new wideband DOA estimation model. In this model, instead of processing each subband individually, the whole frequency information of the received signal is combined. And, to utilize the same sparsity among angle spectrums with different subbands, a novel sparsity constraint is proposed. Based on sparse representation framework, an optimization is constructed and solved by second-order cone (SOC) programming to obtain the DOA information. Simulations are provided to prove the superior performance of the proposed method.