A modified uni-vector-hydrophone ESPRIT algorithm for multisource joint DOA-frequency estimation
Yu Ao, Ke Xu, Jianwei Wan, Yong Chen · 2017
This paper introduces a modified estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm for multisource joint direction of arrival (DOA) and frequency estimation using a single vector hydrophone. Based on TLS-ESPRIT, the proposed algorithm may jointly estimate the two-dimensional DOAs and frequencies up to four uncorrelated narrow-band sources under most circumstances, and can pairs all of the parameters automatically. Compared with the previous ESPRIT-based algorithms, the proposed algorithm adopts modified formulas for computing the directional cosines, making it possible to estimate the omnidirectional azimuths and elevations. Monte Carlo simulation results indicate that the proposed algorithm performances better than other methods.