舰船电子工程2019，Vol.39Issue(12)：39-42,57,5.DOI:10.3969/j.issn.1672-9730.2019.12.010
基于隐马尔可夫模型的目标航迹匹配方法∗
Motion Targets Matching Approach Based on Improved Hidden Markov Model
张宏宇 1陶智2
作者信息
- 1. 91001部队 北京 100000
- 2. 海装装备项目管理中心 北京 100000
- 折叠
摘要
Abstract
Nowadays,with increasing growing of maritime activities,the target recognition is getting more and more impor?tant. History tracks based activity analysis is of great importance in target recognition. This research adopts improved Hidden Mar?kov Model(HMM)to deal with track matching between dynamic tracks of motion targets and history tracks,which can be used in primary recognition of targets. First of all,databases and indexes can be constructed based on history tracks. Secondly,given tracks retrieved from database,HMM is used to complete track matching. Thirdly,according to the largest matching probability,the mo?tion target is cataloged as specified class. The simulations prove that this method is efficient and effective in track matching,which provides good evidences in comprehensive identification.关键词
隐马尔可夫模型/航迹匹配/目标识别/雷达航迹Key words
HMM/track matching/target recognition/radar track分类
信息技术与安全科学引用本文复制引用
张宏宇,陶智..基于隐马尔可夫模型的目标航迹匹配方法∗[J].舰船电子工程,2019,39(12):39-42,57,5.
