Passive Localization of Near-Field Sources With a Polarization Sensitive Array

The least squares-virtual ESPRIT algorithm (LS-VESPA) is extended to jointly estimate the direction-of-arrival (DOA) and ranges of multiple near-field sources impinging on an array of crossed dipoles. The algorithm utilizes fourth-order cumulants for direct estimation of the arrival angle and range...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2007-08, Vol.55 (8), p.2402-2408
Main Authors: Yuntao Wu, So, H.C., Chaohuan Hou, Jun Li
Format: Article
Language:English
Subjects:
Algorithms
Apertures
Applied sciences
Arrays
Detection, estimation, filtering, equalization, prediction
Direction of arrival estimation
Eigenvalues
Estimates
Exact sciences and technology
Field emitter arrays
Information, signal and communications theory
Laboratories
Least squares-virtual ESPRIT algorithm (LS-VESPA)
Matrices
Multidimensional systems
Multiple signal classification
near-field
Parameter estimation
Polarization
Position (location)
Sensor arrays
Signal and communications theory
Signal processing algorithms
Signal, noise
source localization
Statistics
Telecommunications and information theory
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Summary:The least squares-virtual ESPRIT algorithm (LS-VESPA) is extended to jointly estimate the direction-of-arrival (DOA) and ranges of multiple near-field sources impinging on an array of crossed dipoles. The algorithm utilizes fourth-order cumulants for direct estimation of the arrival angle and range parameters via the eigenvalues of certain constructed matrices. Compared with several existing algorithms, the loss of array aperture is effectively avoided. As a result, the proposed method can estimate DOAs and ranges of (N - 1) polarized near-field sources using N dual-polarization sensors. Simulation results show that the proposed method outperforms a fourth-order statistics based ESPRIT-like method.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2007.901912