Application of ESPRIT extended-aperture technique in linear vector-hydrophone array

ESPRIT is a signal parameter estimation method using rotational invariance approaches,which is a subspace decomposing technique.When applied to extended-aperture DOA estimation,some way to eliminate cyclic ambiguity in the phases of ESPRIT eigenvalues is needed.In this paper,a MUSIC-based disambiguation method suitable for ESPRIT in a linear vector-hydrophone array is proposed.Compared with the disambiguation method that derives unambiguous coarse reference estimates,MUSIC can not only eliminate ambiguity in ESPRIT eigenvalues but also solve the problem of port/starboard ambiguity in customary linear hydrophone arrays.Normalization estimator is not required.MUSIC is effective and stable in most azimuth angles in the case of one or two sources.These have been confirmed in simulation.