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Abstract

In this paper, 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 spherical curvature and spreading factor in the array manifold. However, the simultaneous estimation of bearing, elevation, and range from 3-D MUSIC spectrum requires exhaustive multidimensional search. As to alleviate computational load, an alternative algorithm is proposed. The proposed algorithm involves search in the range domain combined with polynomial rooting, which replaces the search in the azimuth-elevation domain, for bearing and elevation estimation. Simulation results are provided to show the efficacy of the proposed algorithm.

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