基于双贝叶斯估计的动态威胁运动状态估计  

Research on Motion Status Estimation of Dynamic Threat Base on Double Bayes Estimation

作　　者：刘厂[1] 赵俊翔 胡海[3] LIU Chang ZHAO Junxiang HU Hai(Collage of Automatic, Harbin Engineering University, Harbin 150001, China Key Laboratory of space physics, Beijing 100076, China Nuclear Power Institute of China , Shuangliu 610213, China)

机构地区：[1]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001 [2]空间物理重点实验室,北京100076 [3]中国核动力研究设计院,四川双流610213

出　　处：《郑州大学学报（工学版）》2017年第2期55-60,共6页Journal of Zhengzhou University（Engineering Science）

基　　金：国家自然科学基金资助项目(51379069);中央高校基础科研业务费支持项目(HEUCF160410)

摘　　要：现有的水下动态威胁运动状态估计主要采用单级估计方法,该方法将动态威胁的速度分解到三个坐标轴分别进行估计,没有考虑运动体速度的整体性.本文提出了一种双贝叶斯估计方法,首先利用自适应贝叶斯估计方法对水下动态威胁的速度大小和方向进行估计,再以此为输入,利用无迹贝叶斯估计方法估计其位置.与传统方法相比,双贝叶斯估计方法充分考虑了水下动态威胁速度的整体性,其有效性和精确性在仿真试验中得到验证.For the issue of motion estimation of underwater dynamic threat, single - stage estimation method is utilized extensively in which velocity is decomposed to three coordinate axes for independent calculation. In or- der to consider the integrity of the speed, a double Bayesian estimation method is proposed in this paper. In the first stage of the improved approach, the velocity and direction of underwater dynamic threat are estimated by the adaptive Bayesian estimation, and then the position is estimated by the unscented Bayesian estimation in the second stage with the joint efforts of the estimated results in the first stage. Simulation results are provid- ed to verify the feasibility and effectiveness of the proposed method.

关 键 词：双贝叶斯估计 水下动态威胁 运动状态 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]