Low-complexity parameters estimator for multiple 2D domain incoherently distributed sources

A new low-complexity parameters estimator for multiple two-dimensional (2D) domain incoherently distributed (ID) sources is presented. One 2D domain ID source is parameterized with four parameters, the central azimuth direction-of-arrival (DOA), azimuth angular spread, central elevation DOA and elevation angular spread. Based on the eigenstructure between the steering matrix and signal subspace, an average total least-squares via rotational invariance technique (TLS-ESPRIT) is used to estimate the central elevation DOA, and then a generalized multiple signal classification (GMUSIC) algorithm is derived to estimate the central azimuth DOA. Utilizing preliminary estimates obtained at a pre-processing stage, the angular spread parameters can be obtained by matrix transform. To estimate four-dimensional parameters, our algorithm only needs one-dimensional search. Compared with earlier algorithms, our method has lower computational cost. In addition, it can be applied to scenarios with multiple sources that may have different angular power d