Source localization via trilinear decomposition of cross covariance tensor with vector-sensor arrays

Direction-of-arrival (DOA) estimation for multiple sources using the array of three-component electromagnetic (EM) vector-sensors is considered in this paper within a tensorial framework. The cross covariance tensor is firstly defined as the one in which the cross covariance terms between every two components of the array signals are arranged in a tensorial manner, and then the trilinear decomposition is performed to this tensor for the parallel factors, from which DOA information for the impinging signals could be extracted. The proposed method does not require any a priori knowledge on the array configuration and is shown to offer high robustness to colored noise. Simulations are provided to illustrate the performance of the proposed DOA estimator.