DOA Estimation for Uniform Linear Array with Mutual Coupling

An algorithm is presented for direction-of-arrival (DOA) estimation in the presence of unknown mutual coupling based on the generalized eigenvalues utilizing signal subspace eigenvectors (GEESE) algorithm for uniform linear array (ULA). It is not an iterative algorithm, and a spectral peak search is...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2009-01, Vol.45 (1), p.280-288
Main Authors: Zhongfu Ye, Zhongfu Ye, Jisheng Dai, Jisheng Dai, Xu Xu, Xu Xu, Xiaopei Wu, Xiaopei Wu
Format: Article
Language:English
Subjects:
Aircraft components
Algorithms
Calibration
Direction of arrival estimation
Eigenvalues
Eigenvalues and eigenfunctions
Electronic systems
Iterative algorithms
Iterative methods
Linear arrays
Mutual coupling
Sensor arrays
Signal processing
Signal processing algorithms
Spectra
Symmetric matrices
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An algorithm is presented for direction-of-arrival (DOA) estimation in the presence of unknown mutual coupling based on the generalized eigenvalues utilizing signal subspace eigenvectors (GEESE) algorithm for uniform linear array (ULA). It is not an iterative algorithm, and a spectral peak search is not required. The DOA can be accurately estimated without any calibration sources since the effects of mutual coupling can be eliminated by the inherent mechanism of the proposed algorithm. An algorithm for estimating the mutual coupling coefficients is also proposed. Simulation results demonstrate the effectiveness of the proposed algorithms.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2009.4805279