A Fast Algorithm of DOA Estimation for Sparse Uniform Circular Array Based on Manifold Separation Technique(MST)
基于流形分离技术的稀疏均匀圆阵快速DOA估计方法

A novel version of PM-Root-MUSIC algorithm is developed in this paper. The algorithm is based on the Manifold Separation Technique (MST) for fast DOA estimation of Uniform Circular Array (UCA) when elements of UCA are sparse. The method does not suffer from the mapping error caused by classic beamspace transform and does not need eigenvalue decomposition, so the computational burden is greatly reduced and the estimation results are close to CRB performance. Simulation results show the method is effective.