基于CS-MUSIC算法的DOA估计

多重信号分类（multiple signal classification， MUSIC）方法在少快拍数或者存在相干信源的情况下不能准确估计信号的波达方向，而压缩感知(compressive sensing， CS)方法在多快拍数或低信噪比情况下分辨性能不稳定，估计准确率受限。提出了一种基于CS的MUSIC方法，简称CS-MUSIC，该方法针对不同的快拍数，建立二者之间的联系，构造出新的正交空间，获得尖锐的谱峰。理论分析和仿真结果表明，所提方法在不同快拍数条件下，具有较高的估计精度，克服了传统方法存在的缺陷，并且对噪声具有鲁棒性。

DOA estimation method based on CS-MUSIC algorithm

Direction of arrival (DOA) cannot be estimated accurately by multiple signal classification (MUSIC) algorithm under the condition of less snapshot numbers or the presence of coherent sources, while with the increase of snapshot numbers or the decrease of signal-to-noise ratio, the resolution performance of the compressive sensing (CS) method is not stable enough and the rate of accuracy is limited. A method based on CS and MUSIC is proposed and the abbreviation is called CS-MUSIC. The link between CS and MUSIC for different snapshot numbers is established in the proposed method which constructs a new orthogonal space and achieves sharp peaks. Theoretical analysis and simulation results show that the proposed method has estimation accuracy to overcome the defects of the traditional methods under the condition of different snapshots and it is robust to noise.