DOA Estimation Based on Sparse Covariance Vector Representation Using Two-Channel Receiver

A practical representation of the sparse signal model is proposed for direction finding applications which extends conventional phase-only interferometry to incorporate the covariance matrix of received signal which is reshaped in a vector. The main goal of this work is to implement the sparse recovery algorithm in a practical Direction-Of-Arrival (DOA) system in which only two-channel receiver is available. This system uses the sequential time sampling by switching among array antennas. Two different types of switching have been considered in this work. The simulation results, and also the practical measurements of a real DOA system show that the sparse recovery algorithm has better performance in DOA estimation compared to MUSIC and conventional interferometer methods.