2D-DOA Tracking Algorithm for Monostatic MIMO Radar using Two Parallel Uniform Linear Arrays

In this paper, we show projection approximation and subspace tracking of deflation (PASTd) combined with estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm for 2-dimensional direction of arrival (2D-DOA) tracking of multiple targets based on two parallel uniform linear arrays (ULAs) in monostatic multiple-input multiple-output (MIMO) radar. Instead of computing eigen-value decomposition of the cross correlation matrix and singular value decomposition of the received data, the proposed algorithm can estimate signal subspace by PASTd algorithm with low complexity, which can also estimate azimuth and elevation angles without additional pair matching in monostatic MIMO radar. Simulation results verify the usefulness of our algorithm in tracking multiple moving targets.