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The rotational invariance property of the propagator matrix is exploited to obtain the initial angle estimations, while the accurate estimates can be achieved through successive one-dimensional and local spectrum-peak searches. The proposed algorithm can obtain automatically paired 2D-DOA estimations, and it requires no eigenvalue decomposition of the covariance matrix of received data, which remarkably reduces the computational cost compared with traditional 2D-PM algorithm. In addition, the DOA estimation performance of the proposed algorithm is better than estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm and PM algorithm, and is close to 2D-PM algorithm which requires 2D spectrum-peak search. Numerical simulations demonstrate the effectiveness and improvement of the proposed algorithm. <\/jats:p>","DOI":"10.1142\/s0218126619501615","type":"journal-article","created":{"date-parts":[[2018,9,30]],"date-time":"2018-09-30T23:45:21Z","timestamp":1538351121000},"page":"1950161","source":"Crossref","is-referenced-by-count":3,"title":["Two-Dimensional DOA Estimation for Planar Array Using a Successive Propagator Method"],"prefix":"10.1142","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3840-8434","authenticated-orcid":false,"given":"Weiyang","family":"Chen","sequence":"first","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. 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