Direction of Arrival Estimation of Underwater Acoustic Target Based on Off-Grid Sparse Bayesian Inference
Zhiliang Wan, Chuanxi Xing, Siyuan Jiang · 2021 OES China Ocean Acoustics (COA) · 2021
The complex and changeable underwater signal transmission environment will lead to low accuracy of underwater acoustic target azimuth estimation. The searched peak is not apparent, and the traditional DOA estimation method will produce off-grid errors. In response to this situation, this paper adopts the off-grid sparse Bayesian inference algorithm to study the DOA estimation of the underwater acoustic array receiving signal. The performance of the off-grid sparse Bayesian derivation algorithm and the MUSIC algorithm was simulated and compared with the underwater acoustic array signal. The deviation between the estimated value of the two algorithms and the theoretical value was verified through multiple Monte Carlo experiments, and the root mean square error was obtained. It shows that the method in this paper can be applied to the DOA estimation of underwater acoustic targets. Compared with the MUSIC algorithm, the method in this paper has higher estimation accuracy, sharper search peak, and smaller root mean square error.