A new direction of arrival estimation method for wideband underwater acoustic targets
WANG Biao;CHEN Feng;HE Cheng;DAI Yuewei;School of Electronic and Information, Jiangsu University of Science and Technology;
The existing direction of arrival(DOA) estimation methods for wideband underwater acoustic target based on CS have longer computation time and higher estimation failure rates. To solve these problems, a new direction of arrival estimation algorithm of wideband underwater acoustic target based on sparse Bayesian learning is proposed, which uses sparse Bayesian learning as the reconstructing algorithm to DOA estimation for wideband underwater acoustic target and employs fixed-point method to obtain the value of core hyperparameter to estimate the DOA. Simulation results verify the feasibility and effectiveness of the proposed algorithm and confirm this algorithm had advantages of high speed for the process of computation and superior recovery performance to common beamforming algorithm, MUSIC algorithm, and normative SBL method with BP algorithm.