DOA Estimation for Polarized Sources on a Vector-Sensor Array by PARAFAC Decomposition of the Fourth-Order Covariance Tensor
Sébastian Miron, Xijing Guo, David Brie · 2008
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 decompo-sition of the fourth-order covariance tensor of the polar-ized data. The Cramér-Rao bound is derived and the performance of the proposed method are compared to a prior trilinear deterministic version of the algorithm [1] and to MUSIC for polarized sources [2]. 1.