2-D DOA estimation in wireless location system via sparse representation

Abstract

In this paper 2D direction of arrivals(DOAs) of signals in wireless location estimated based on sparse representation of signals. The array sensor is uniform circular array, and azimuth and elevation of sources are estimated in beamspace domain. We use the beamspace transformation by employing phase mode excitation in circular arrays. This beamspace process transform complex manifold to real one, so that our computations complexity is decreased by a factor of at least four, also with this transformation our approach simultaneously benefits beamspace domain advantages such as robustness to array imperfections. Finally our approach will compared with conventional methods of DOAs estimation. Simulation results validate better performance of our approach, especially in low SNRs.