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基于双贝叶斯估计的动态威胁运动状态估计

刘厂 赵俊翔 胡海

郑州大学学报(工学版)2017,Vol.38Issue(2):55-60,6.
郑州大学学报(工学版)2017,Vol.38Issue(2):55-60,6.DOI:10.13705/j.issn.1671-6833.2017.02.013

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

刘厂 1赵俊翔 2胡海3

作者信息

  • 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
  • 折叠

摘要

Abstract

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 order 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 provided 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

Key words

double Bayes estimation/underwater dynamic threat/motion status

分类

信息技术与安全科学

引用本文复制引用

刘厂,赵俊翔,胡海..基于双贝叶斯估计的动态威胁运动状态估计[J].郑州大学学报(工学版),2017,38(2):55-60,6.

基金项目

国家自然科学基金资助项目(51379069) (51379069)

中央高校基础科研业务费支持项目(HEUCF160410) (HEUCF160410)

郑州大学学报(工学版)

OA北大核心CSTPCD

1671-6833

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