A comprehensive approach to DOA estimation using higher-order statistics

The algorithms developed in this paper rely on cumulants, or higher-order statistics, to eliminate Gaussian noise. A simple relation between the signal model parameters and the cumulant matrices computed from the received signals forms the basis for the development of these algorithms. The block Hankel structure of matrices formed from the cumulant matrices enables the directions of arrival (DOAs) to be estimated using the well-known MUSIC and ESPRIT approaches to DOA estimation. The effectiveness of the methods proposed here is demonstrated by the results of extensive computer simulation studies.