Distributed source DOA estimation for more sources than sensors using sparse circular arrays
Thomas Basikolo, Koichi Ichige, Hiroyuki Arai · 2017
In wireless communications, the signal that a base station receive cannot be regarded as a point source because of the multipath propagation. A distributed source model is more suitable for the realistic scenario due to some environmental phenomenon. This paper presents subspace based method for distributed source direction of arrival estimation. Using nested sparse circular arrays, we are capable of estimating more distributed sources than the number of sensors. Simulation results confirms the effectiveness of the proposed method.