A Novel Subspace Coherent Signal Processing Algorithm For High-Resolution DOA Estimation

Author

Xu-Dihua ; Chen-Jianwen ; Wu-You

Author_Institution

Key Res. Lab., Wuhan Radar Acad.

fYear

2006

fDate

12-15 Dec. 2006

Firstpage

653

Lastpage

656

Abstract

In this paper, a novel subspace coherent signal processing algorithm for high-resolution direction of arrival (DOA) estimation is proposed, which is based on forward-backward averaging and subspace eigendecomposition, the FB-SED algorithm for short. The forward-backward averaging matrix is employed as the preprocessor for the linear arrays, and then the invariance property of noise subspace to power emitters is used to estimate the directions of the coherent sources. The simulation results indicate that the FB-SED algorithm provides higher resolution performance for two closely spaced coherent sources estimation compared to conventional forward backward spatial smoothing MUSIC (FBSS-MUSIC). Finally, it is shown that FB-SED algorithm is more robust than FBSS-MUSIC when there are array errors in the practical linear array

Keywords

direction-of-arrival estimation; eigenvalues and eigenfunctions; matrix algebra; direction of arrival estimation; forward backward spatial smoothing MUSIC; forward-backward averaging matrix; high-resolution DOA estimation; linear arrays; noise subspace; power emitters; subspace coherent signal processing algorithm; subspace eigendecomposition; Computer simulation; Covariance matrix; Decorrelation; Direction of arrival estimation; Maximum likelihood estimation; Multiple signal classification; Radar signal processing; Sensor arrays; Signal processing algorithms; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on

Conference_Location

Yonago

Print_ISBN

0-7803-9732-0

Electronic_ISBN

0-7803-9733-9

Type

conf

DOI

10.1109/ISPACS.2006.364741

Filename

4212359