Self-initiating MUSIC-based direction finding and polarization estimation in spatio-polarizational beamspace

A novel self-initiating multiple signal classification (MUSIC)-based direct ion-finding (DF) and polarization-estimation algorithm in spatio-polarizati onal beamspace is herein presented for an arbitrarily spaced array of ident ically oriented electromagnetic vector sensors. An electromagnetic vector s ensor, already commercially available, is composed of six colocated, but di versely polarized, antennas distinctly measuring all six electromagnetic-he ld components of a multisource incident wave field. This proposed algorithm : 1) exploits the incident sources' polarization diversity; 2) decouples th e estimation of the sources' arrival angles from the estimation of the sour ces' polarization parameters; 3) uses ESPRIT on pairs of vector sensors to self-generate coarse estimates of the arrival angles to start off its MUSIC -based iterative search without any a priori information on the incident so urces' parameters; 4) estimate the sources' polarization states; and 5) aut omatically pairs the z-axis direction-cosine estimates with the y-axis dire ction-cosine estimates and with the polarization estimates. Monte Carlo sim ulation results verify the efficacy of the proposed method.