A modified ESPRIT algorithm based on a new SVD method for coherent signals

• Published in: 2011 IEEE International Conference on Information and Automation pp. 75 - 78
• Main Authors: Liyang Zhou, Dengshan Huang, Hongliang Duan, Yulong Chen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-06-2011
• Subjects: Arrays; coherent signals; Covariance matrix; Direction of arrival estimation; ESPRIT algorithm; Estimation; Matrix decomposition; resolution capability; Signal processing algorithms; Signal to noise ratio; SNR; SVD
• ISBN: 9781457702686; 1457702681
• DOI: 10.1109/ICINFA.2011.5948966

In this paper, an improved high-resolution ESPRIT algorithm for direction of arrival (DOA) estimation of coherent signals is proposed, which is based on a new SVD method, the MSVD-ESPRIT algorithm for short. The main idea is to construct a matrix with the maximum eigenvector according to certain rules, then fix this matrix and get two signal subspaces by singular value decomposition; at the last we use the rotation invariant to get DOA. Simulation results indicated that compared with other improved algorithm, this improved ESPRIT algorithm's resolution and robustness is obviously better, especially in low SNR case.