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DOA estimation of multiple sources for a moving array in the presence of phase noise

DOA estimation of multiple sources for a moving array in the presence of phase noise

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The authors investigate the issue of direction of arrival (DOA) estimation in the presence of phase noise for multiple sources with a synthetic linear array, which is synthesised by a short moving array. The extended towed array measurements (ETAM) method can extend the array aperture greatly, but can only be applied to multiple coherent sources and requires the array to move with constant velocity. To tackle the problems, the authors generalise the ETAM method to multiple incoherent sources and array non-uniform motion case. The authors first formulate the manifold of the extended synthetic array (SA) moving with known velocity in a straight line. Then the initial DOA estimates and phase correction factors are estimated successively by two-dimensional multiple signal classification (2D-MUSIC) spectrum search using adjacent measurements sampled by the moving array. Moreover, to reduce the complexity, the authors also propose a reduced dimensional MUSIC (RD-MUSIC) method to turn the two-dimensional peak search to one-dimensional. As the array aperture is extended by proper compensation, the DOA estimation performance of the proposed SA method improves. Besides, the proposed method can resolve more number of sources than sensors since every two measurements are used for estimation in each process. Simulation results validate the effectiveness of the proposed method.

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr.2018.5143
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