Multiresolution Compressive Sensing Algorithm to Detect Off-Grid Direction of Arrival

Direction of Arrival (DOA) techniques have been widely used in a variety of applications such as radar, sonar and image processing. Especially in military communication, precise estimation of the DOA, incorporated with smart beam-forming techniques, can provide useful solutions for interference mitigation and jammer identification. Traditional DOA estimation techniques require large number of snapshots of the incoming signal to accurately deduce the DOA of an impinging wave, which can significantly increase the computational complexity of the algorithm. We propose a novel Compressive Sensing (CS) based DOA detection algorithm, which is independent of the transmitter being located at a quantized grid point and uses fewer snapshots than Beam-Scan algorithm to detect the DOA. We evaluated the Mean Square Error (MSE) in estimating the off-grid DOA. Simulation results suggest that the proposed algorithm achieves a reduction in MSE by a factor of ten, when compared to the high resolution Beam-Scan technique.