A novel algorithm is proposed for two-dimensional direction of arrival (2D-DOA) estimation with uniform rectangular array\nusing reduced-dimension propagator method (RD-PM). The proposed algorithm requires no eigenvalue decomposition of the\ncovariance matrix of the receive data and simplifies two-dimensional global searching in two-dimensional PM (2D-PM) to one dimensional\nlocal searching. The complexity of the proposed algorithm is much lower than that of 2D-PM. The angle estimation\nperformance of the proposed algorithm is better than that of estimation of signal parameters via rotational invariance techniques\n(ESPRIT) algorithm and conventional PM algorithms, also very close to 2D-PM.The angle estimation error and Cram�´er-Rao bound\n(CRB) are derived in this paper. Furthermore, the proposed algorithm can achieve automatically paired 2D-DOA estimation. The\nsimulation results verify the effectiveness of the algorithm.
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