Parameter estimation of distributed sources with electromagnetic vector sensors

We consider the problem of estimating the parameters of distributed signals with electromagnetic vector sensors. In this paper, we consider situations where the sources are distributed not only in space with deterministic angular signal density, but also in polarization with partially polarized components. A distributed signals general model with polarization sensitive sensor array (PSADIS-model) is first established with some reasonable assumptions. We propose an algorithm that estimates the parameters with this model based on the generalization MUSIC algorithm. We compare our method to the distributed signal parameter estimator (DSPE), and the simulation studies show significant advantages in using the proposed PSADIS-model with electromagnetic vector sensors. The simulation studies show that the new method outperforms the DSPE algorithm by improving resolution performance for scenario with distributed sources.