School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China
JASA Express Lett. 2023 Jan;3(1):014801. doi: 10.1121/10.0016837.
The variational Bayesian extended Kalman filter (VB-EKF) based robust direction-of-arrival (DOA) tracking technique is proposed to make reliable estimations of the bearing angle of an underwater target with uncertain environment noise. By utilizing the VB-EKF scheme, the uncertain measurement noise caused by an unknown underwater environment along with the bearing angle of the target can be estimated simultaneously to provide reliable results at every tracking step. The proposed technique is demonstrated and verified by the sea trial data from the South China Sea in July 2021 and both the robustness and accuracy are proved superior to the traditional DOA estimating methods.
基于变分贝叶斯扩展卡尔曼滤波器 (VB-EKF) 的稳健到达方向 (DOA) 跟踪技术，旨在对水下目标的方位角进行可靠估计，同时考虑到不确定的环境噪声。通过利用 VB-EKF 方案，可以同时估计由未知水下环境引起的不确定测量噪声以及目标的方位角，从而在每个跟踪步骤中提供可靠的结果。该技术通过 2021 年 7 月在中国南海的海上试验数据进行了演示和验证，其稳健性和准确性均优于传统的 DOA 估计方法。
