基于稀疏分解的近场源定位方法

Based on the sparsity of the sources in the whole localization space, a new near-field source localization method is proposed. The method utilizes greedy algorithm for the signal received by each orientation dynamic array, then the atoms related to the localization of source are selected. With the construction method of atoms for selected atoms, we can estimate the DOA and range parameters of sources. Proposed method is robust to noise, and can effectively deal with the situations that the sources are coherent and the number of snapshots is smaller. The simulation results verify the effectiveness of proposed method.