Doa estimation algorithm based on UV decomposition matrix completion

In the imperfect communication environment, the array received signal may have missing data, which could suffer from the direction-of-arrival (DOA) estimation performance deterioration. To this end, the matrix completion method is usually used for recovering the missing data of received signal to improve the DOA estimation accuracy. In this paper, a matrix completion DOA estimation algorithm is proposed based on UV decomposition. Firstly, the array received signal recovery problem is transformed into a matrix completion problem. On this basis, the UV decomposition of the signal is introduced into the matrix completion model, which avoids the singular value decomposition of kernel norm optimization and reduces the computational complexity. In addition, a residual regular term is utilized in the proposed algorithm to reduce the data deviation caused by matrix decomposition. Then, the received signal of the array to be recovered is solved by the alternating direction multiplier method (ADMM) algorithm. Finally, the multiple signal classification (MUSIC) algorithm is used to estimate the DOA of recovered array signal. Simulation results indicate that the proposed algorithm can better recover data to perform DOA estimation with the low computational complexity, and is superior to existing DOA estimation algorithms based on matrix completion.