The paper combines the parameter estimation problem of electromagnetic vector array with the parallel profiles with linear dependencies (PARALIND) model, and proposes a PARALIND decomposition-based coherent direction of arrival(DOA) estimation algorithm for electromagnetic vector array. The proposed algorithm is effective for coherent sources angle estimations without the need for peak searching. In addition, the corresponding correlated matrix also can be obtained and it is effective for both uniform and non-uniform linear array. Compared with traditional forward backward spatial smoothing-estimation of signal parameters via rotational invariance techniques(FBSS-ESPRIT) algorithm and forward backward spatial smoothing -propagator method (FBSS-PM) algorithm, the proposed approach has better angle estimation performance and moreover it can distinguish closely-spaced coherent sources and achieve their angle estimations effectively.