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

Author

Zhou, Liyang ; Huang, Dengshan ; Duan, Hongliang ; Chen, Yulong

Author_Institution

Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China

fYear

2011

fDate

6-8 June 2011

Firstpage

75

Lastpage

78

Abstract

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.

Keywords

array signal processing; direction-of-arrival estimation; singular value decomposition; DOA estimation; MSVD-ESPRIT algorithm; SNR case; SVD method; array signal processing; coherent signals; direction of arrival; maximum eigenvector; modified ESPRIT algorithm; singular value decomposition; Arrays; Covariance matrix; Direction of arrival estimation; Estimation; Matrix decomposition; Signal processing algorithms; Signal to noise ratio; ESPRIT algorithm; SNR; SVD; coherent signals; resolution capability;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation (ICIA), 2011 IEEE International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4577-0268-6

Electronic_ISBN

978-1-4577-0269-3

Type

conf

DOI

10.1109/ICINFA.2011.5948966

Filename

5948966