Polarized source characterization using vector-music

This paper proposes a version of MUSIC algorithm allowing characterization of polarized sources recorded on a vector-sensor (or multicomponent sensor) array. This method yields waves direction of arrival (DOA) and polarization estimates using multilinear algebra structures. It is based on separation of the observation space into signal and noise subspaces, using Higher-Order EigenValue Decomposition for 4^th order tensors. Recorded dataset is stored in tridimensional arrays rather than matrices to preserve its intrinsically trimodal organization: time, distance and components. Performances of the proposed algorithm are evaluated on simulated data.