Research on Three-Dimensional Passive Localization of Broadband Sound Source Based on Sparse Decomposition Theory

According to the sparse distribution of sound sources in spatial domain, a horizontal array and a vertical array are used to realize high-resolution three-dimensional passive localization of broadband sound sources under the conditions of few snapshots and low signal-to-noise ratio. Aiming at the deficiency of incoherent processing, this paper proposes a joint multi-frequency point block sparse processing method. This method makes use of the same sparse structure characteristics of the received data of each frequency point after sparse decomposition, and carries out joint multi-frequency point processing by stacking the sparse structures of blocks, which not only retains the high resolution of sparse solution, but also increases the robustness to noise. Simulation and experimental data processing verify the effectiveness and superiority of this method.