Cyclostationarity-Based DOA and Polarization Estimation for Multipath Signals with a Uniform Linear Array of Electromagnetic Vector Sensors

Abstract

With a uniform linear array of electromagnetic vector sensors (VS), a cyclic Pro-ESPRIT-based and a cyclic MUSIC-based methods are proposed, each of which gives a solution for the two-dimensional (2-D) direction finding and polarization estimation of cyclostationary signals in multipath environment. An electromagnetic vector sensor is composed of six spatially co-located, orthogonally oriented, diversely polarized antennas, separately measuring all six electromagnetic-field components of an incident wavefield. By exploiting the cyclostationarity of the signals and the special structure of a vector sensor, the proposed methods improve the resolution power and increase the signal-selective capability. The performance of each proposed approach is confirmed through numerical examples