Improved SVD Algorithm for DOA Estimation of Coherent Signal Sources

In order to solve the coherent problem of Orthogonally Matched(OMP) Pursuit algorithm in sparse reconstruction, the feature vector corresponding to large eigenvalue of SVD is constructed by using received data, and two improved methods are proposed. Both methods reconstruct the angle through the feature vector, and can reconstruct the angle information accurately without knowing the number of the signal source. Compared with the classical OMP algorithm, the operation speed is faster and the sparse reconstruction effect is better. Theoretical analysis and simulation results verify the good performance of the algorithm.