基于混合型MUSIC算法对相干信源DOA估计

在实际通信环境中，由于传播环境的复杂性使空间中存在大量的相干信号，从而导致信源协方差矩阵的秩亏缺。为使得矩阵的秩恢复到等于信号源数并解决相干信源波达方向（direction of arrival ，DOA）估计问题，提出了一种混合型MUSIC算法。该算法通过前后向空间平滑技术对天线阵列进行预处理，并将得到的新协方差矢量矩阵应用于改进的IMUSIC算法进行信号数据处理分析，得到相干信号的DOA角度估计。仿真结果表明，在信噪比低的情况下，信号间隔很小且存在相关信号时，混合型MUSIC算法能准确地估计出信源的DOA，验证了该算法的高分辨率和高性能。

DOA estimation of coherent sources based on hybrid MUSIC algorithm

In the practical communication environment, because of the complexity of the propagation environment, there are a lot of coherent signals in the space, which leads to the rank defect of the source covariance matrix. In order to restore the rank of the matrix to be equal to the number of signal sources and solve the problem of DOA estimation, this paper proposed a hybrid MUSIC algorithm. It pre-processed the antenna array by the forward and backward spatial smoothing technique, and applied the new covariance vector matrix to the improved IMUSIC algorithm for signal processing and analysis, and obtained the DOA angle estimation of coherent signals. The simulation results show that the hybrid MUSIC algorithm can accurately estimate the DOA of the source when the signal-to-noise ratio is low, the signal interval is small and the correlation signal exists, which verifies the high resolution and high performance of the algorithm.