Direction-of-arrival estimation for spatially non-symmetric distributed sources

We propose a novel direction-of-arrival (DOA) estimation method, which uses sensors of the receiving array, for spatially non-symmetric distributed sources characterized by multipath fading. Specifically, the probability density function (PDF) of a non-symmetric distribution is modeled as the summation of two Gaussian PDFs. The proposed algorithm is based on a covariance fitting and accurately estimates the DOA for a non-symmetrically distributed source by determining the scaling ratio between the two Gaussians. Furthermore, the degree of angular spread is also evaluated by using these estimated parameters.