Spatial Spectrum Sparse Reconstruction for Maneuvering Towed Array

The port-starboard ambiguity in the conventional single towed linear array sonar is one of the most deceiving obstacles for the spatial spectrum estimation. In order to improve the performance of target detection and Direction of Arrival (DOA) estimation, a spatial spectrum sparse representation model is established using multiple beam-space measurements. The forward-backward operator splitting method is adopted for solving the sparse optimization problem. Simulation results demonstrate that, compared with Conventional Beam Forming (CBF) method, the proposed method has evident advantages in ambiguity suppression and estimation performance.