Efficient parameter estimation of partially polarized electromagnetic waves

This paper considers the problem of statistically efficient estimation of the parameters of partially polarized electromagnetic (EM) waves with a uniform linear array of crossed dipoles. We consider the maximum likelihood (ML) estimation of incident angles and the degrees of polarization. We present a computationally efficient large sample ML estimator that avoids the multidimensional search over the parameter space required by the exact ML estimator