Estimating directions of arrival of completely and incompletely polarized signals with electromagnetic vector sensors
We are concerned with direction-of-arrival estimation and signal classification with electromagnetic vector sensors for scenarios where completely and incompletely polarized signals may co-exist. We propose an efficient ESPRIT-based method, address the identifiability of the proposed method, and compare its performance against CRB.