Method of Non-circular Dimensionality Reduction DOA Estimation Based on Coprime MIMO Radar

To solve the problems of low degree of freedom, small array aperture, phase ambiguity and et al. of the traditional coprime array DOA estimation method, a method of non-circular signal dimensionality reduction DOA estimation based on coprime array MIMO radar is proposed. This method combines the advantages of coprime arrays and MIMO radars. Then the array is expanded using the non-circular signal characteristics to reconstruct the received signal matrix. Next, the dimensionality reduction is performed. In addition, it uses the power series of the noise eigenvalues to correct the noise subspace to further improve the accuracy of the algorithm. Finally, the problem of no phase ambiguity in the method in this paper is derived. Simulation experiments show that the method in this paper can effectively avoid phase ambiguity, greatly improve the degree of freedom, and expand the array aperture. Compared with the traditional MUSIC algorithm and the coprime array MUSIC algorithm, it has better performance in terms of estimation success rate and DOA estimation accuracy.