ESPRIT-Based Coherent Source Localization With Forward and Backward Vectors

Novel methods are presented which estimate the direction of arrival (DOA) of coherent signals by efficiently exploiting forward and backward vectors. Some correlation vectors or the eigenvector corresponding to the largest eigenvalue of the covariance matrix is used as the forward vector, and the ba...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2010-12, Vol.58 (12), p.6416-6420
Main Author: CHOI, Yang-Ho
Format: Article
Language:English
Subjects:
Applied sciences
Arrays
Coherence
Coherent signals
Covariance matrix
Detection, estimation, filtering, equalization, prediction
Direction of arrival
Direction of arrival estimation
Eigenvalues
Eigenvectors
ESPRIT
Estimates
Estimation
estimation of directions of arrival
Exact sciences and technology
Information, signal and communications theory
Mathematical analysis
Miscellaneous
Noise
shift invariance
Signal and communications theory
Signal processing
Signal resolution
Signal, noise
Telecommunications and information theory
Vectors
Vectors (mathematics)
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Description
Summary:Novel methods are presented which estimate the direction of arrival (DOA) of coherent signals by efficiently exploiting forward and backward vectors. Some correlation vectors or the eigenvector corresponding to the largest eigenvalue of the covariance matrix is used as the forward vector, and the backward vector is then obtained by reversing the order of the complex conjugated elements of the forward one. The use of both forward and backward vectors allows us to find a signal subspace of larger dimension than in the existing method which obtains that from a Toeplitz matrix. The proposed methods with an increased effective array aperture resolve more signals and provide better DOA estimates than the Toeplitz based method.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2010.2077634