High resolution vector-sensor array processing using quaternions

The aim of this paper is to introduce a novel MUSIC-like algorithm for polarized sources characterization based on a quaternion model for two-component sensor-array signal. The associated data covariance matrix is described and a comparison with the classical long-vector approach is made. We show th...

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Bibliographic Details
Published in:IEEE/SP 13th Workshop on Statistical Signal Processing, 2005 pp. 918 - 923
Main Authors: Miron, S., Le Bihan, N., Mars, J.I.
Format: Conference Proceeding
Language:English
Published: IEEE 2005
Subjects:
Array signal processing
Covariance matrix
Direction of arrival estimation
Geophysics computing
Mars
Polarization
Quaternions
Sensor arrays
Signal resolution
Vectors
ISBN:9780780394032, 0780394038
ISSN:2373-0803
Online Access:Get full text
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Summary:The aim of this paper is to introduce a novel MUSIC-like algorithm for polarized sources characterization based on a quaternion model for two-component sensor-array signal. The associated data covariance matrix is described and a comparison with the classical long-vector approach is made. We show that the use of quaternions improves the signal subspace estimation accuracy and reduces the computational burden. Additionally, the proposed algorithm presents a better resolution power for direction of arrival (DOA) estimation than the long-vector approach, for equivalent statistical performances
ISBN:9780780394032
0780394038
ISSN:2373-0803
DOI:10.1109/SSP.2005.1628725