A Root-RARE Algorithm for DOA Estimation with Partly Calibrated Uniform Linear Arrays

The rank-reduction (RARE) algorithm is a well-known class of algorithms for direction of arrival (DOA) es-timation in the presence of imperfect array manifolds. Since the spectral peak search is inevitable for the current RARE algorithm, it may bring a huge occupational load for practical implementations. In order to reduce the computational com-plexity, in this paper, we propose a root-RARE algorithm for DOA estimation with partly calibrated uniform linear arrays (ULAs). Through replacing the spectral peak search with a polynomial root finding, our proposed method can get much higher efficiency than the original RARE method. Simulation results demonstrate that our method can significantly reduce the computational complexity and improve the DOA estimation performance in a low SNR case.