3-D MUSIC with polynomial rooting for near-field source localization

The bearing, elevation, and range estimation of near-field narrow-band sources from data observed across an array of sensors is considered. For high-resolution source localization, the multiple signal classification (MUSIC) algorithm is modified and extended to its 3-D version by accounting for the spherical curvature and spreading factor in the array manifold. However, the simultaneous estimation of bearing, elevation, and range from the 3-D MUSIC spectrum requires exhaustive multidimensional search. In order to alleviate the computational load, an alternative algorithm is proposed. The proposed algorithm involves a search in the range domain combined with polynomial rooting, which replaces the search in the azimuth-elevation domain, for bearing and elevation estimation.