SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

High resolution vector-sensor array processing using quaternions

Author(s)

Sebastian Miron	LIS
Nicolas Le Bihan	LIS
Jérôme I. Mars	LIS

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Abstract

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.