Direction-of-Arrival Estimation Using Joint Sparse Reconstruction Based on Acoustic Vector Array

A novel method for underwater acoustic signal direction-of-arrival (DOA) estimation based on acoustic vector sensor array is herein proposed. By using the sparse representation and joint sparse reconstruction technologies, the proposed method could distinguish the adjacent signals and estimate the DOAs precisely. Comparing with other vector sparse reconstruction methods, the proposed method firstly constructed the sparse representation model in terms of the covariance matrix, which had sparse columns via vector orthogonal addition. And then due to the spatial sparse characteristic and the consistency of the signal, obtain the joint sparse vectors. At last, estimate DOAs by solving the norm minimization constraint problem. The proposed method needn't require any pre-processing or DOA pre-estimation. Simulation results show that the proposed method has high-resolution accuracy and good resolution ability.