Paper Info
Title
Quaternion-MUSIC for vector-sensor array processing
Abstract
This paper considers the problem of direction of arrival (DOA) and polarization parameters estimation in the case of multiple polarized sources impinging on a vector-sensor array. The quaternion model is used, and a data covariance model is proposed using quaternion formalism. A comparison between long vector orthogonality and quaternion vector orthogonality is also performed, and its implications for signal subspace estimation are discussed. Consequently, a MUSIC-like algorithm is presented, allowing estimation of wave's DOAs and polarization parameters. The algorithm is tested in numerical simulations, and performance analysis is conducted. When compared with other MUSIC-like algorithms for vector-sensor array, the newly proposed algorithm results in a reduction by half of memory requirements for representation of data covariance model and reduces the computational effort, for equivalent performance. This paper also illustrates a compact and elegant way of dealing with multicomponent complex-valued data.
Year
DOI
Venue
2006
10.1109/TSP.2006.870630
IEEE Transactions on Signal Processing
Keywords
Field
DocType
music-like algorithm,quaternion vector orthogonality,data covariance model,algorithm result,signal subspace estimation,quaternion formalism,polarization parameters estimation,vector-sensor array,multicomponent complex-valued data,vector-sensor array processing,quaternion model,data models,direction of arrival,data processing,quaternions,parameter estimation,numerical simulation,polarization,eigenvalue decomposition,sensor array,covariance matrix
Array processing,Mathematical optimization,Direction of arrival,Quaternion,Sensor array,Orthogonality,Estimation theory,Signal subspace,Mathematics,Covariance
Journal
Volume
Issue
ISSN
54
4
1053-587X
Citations 
PageRank 
References 
93
4.68
14
Authors
3
Name
Order
Citations
PageRank
S. Miron1934.68
N. Le Bihan216510.16
J.I. Mars316114.94