Direction finding of wideband sources in aliasing conditions

In this paper, we consider the problem of detecting and tracking moving sources emitting wideband signals under the severe spatial aliasing condition in sparse passive arrays. We develop direction of arrival (DOA) estimation algorithm based on subband MUSIC (multiple signal classification) method which produces high-resolution estimation and the fact that true bearings are invariant regardless of a change of frequency bands while the aliased false bearings vary. Despite its simplicity, the proposed algorithm overcomes the aliasing effects and improves the localization performance in sparse passive arrays. Simulation results for multiple target tracking are presented and the robustness algorithm with respect to measurement noise is also demonstrated.