Near Field Source Localization and Tracking Using a Passive Sensor Array

In this paper, we consider the problem of passive localization and tracking of multiple sources in near field. For high resolution source localization, the multiple signal classification (MUSIC) algorithm can be extended to its 2-D version by accounting for spherical curvature and spreading factors in the array manifold. For tracking the sources, simultaneous estimation of x and y coordinates of sources using the 2-D MUSIC spectrum requires exhaustive two dimensional search in each snapshot. To reduce the computational complexity, an alternative Newton type algorithm is proposed for target tracking. Simulation results show good performance of the proposed algorithms.