A novel high resolution direction of arrival estimation algorithm

Author

Kang Jun ; Huang Dengshan ; Cai Huifu ; Wang Dajun

Author_Institution

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

fYear

2010

fDate

20-23 June 2010

Firstpage

2329

Lastpage

2332

Abstract

In this paper, a novel high resolution direction of arrival (DOA) estimation is proposed, which is based on virtual matrix and orthogonal vector, the OVSS-VM algorithm for short. The virtual matrix is employed as the preprocessor for the uniform linear array (ULA), then the rotational matrix in ESPRIT is used to estimate the directions of the coherent sources, and the orthogonal vector in noise subspace can be used to search the peak value of the spectral. The simulation results show that the OVSS-VM algorithm provides higher resolution and robustness performance for coherent signals estimation than conventional method.

Keywords

direction-of-arrival estimation; matrix algebra; signal processing; vectors; ESPRIT; coherent signals estimation; direction of arrival estimation algorithm; orthogonal vector spectral estimation-virtual matrix algorithm; rotation invariance technique; rotational matrix; signal parameter estimation; uniform linear array; Array signal processing; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Matrix decomposition; Sensor arrays; Signal processing algorithms; Signal resolution; Smoothing methods; Vectors; DOA; array signal processing; orthogonal vector; uniform linear array; virtual matrix;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation (ICIA), 2010 IEEE International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-5701-4

Type

conf

DOI

10.1109/ICINFA.2010.5512432

Filename

5512432