DOA estimation for polarized sources on a vector-sensor array by PARAFAC decomposition of the fourth-order covariance tensor

Sebastian Miron (1) , Xijing Guo (1) , David Brie (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

In this paper we propose a novel stochastic algorithm for direction of arrival (DOA) estimation of polarized electromagnetic sources impinging on a six-component vector-sensor array, based on the PARAFAC decomposition of the fourth-order covariance tensor of the polarized data. The Cramer-Rao bound is derived and the performance of the proposed method are compared to a prior trilinear deterministic version of the algorithm and to MUSIC for polarized sources.

Mots clés: covariance tensor; polarization; DOA estimation; PARAFAC; QALS

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Sebastian Miron, Xijing Guo, David Brie. DOA estimation for polarized sources on a vector-sensor array by PARAFAC decomposition of the fourth-order covariance tensor. 16th European Signal Processing Conference, EUSIPCO 2008, Aug 2008, Lausanne, Switzerland. pp.CDROM. ⟨hal-00278437⟩