计算机与数字工程2013，Vol.41Issue(6)：904-907,4.
基于一致性的分布式多站纯方位目标跟踪算法
Consensus-based Distributed Filtering Algorithm for Bearings-only Passive Tracking in Multiple Stations
摘要
Abstract
For the problem of bearings-only passive locating and tracking in multiple stations,an improved consensus-based distributed unscented Kalman filtering algorithm is proposed.Firstly,sensors obtain the local estimates using their own and neighbor station's measurements.Then through utilizing the weighted principle of federated filter and consensus algorithm,the estimate can be improved by local information transfer.Furthermore,the outdated data of stations is used to improve the convergence rate.The numerical simulation demonstrates that the algorithm proposed provides a good performance in bearings-only passive locating and tracking,and the estimation can get close to that of the traditional method based on centralized fusion.关键词
一致性算法/纯方位/无迹卡尔曼滤波/目标跟踪Key words
consensus algorithm/ bearings-only/ unscented Kalman filtering/ target tracking分类
信息技术与安全科学引用本文复制引用
王长城,陈烨,戚国庆,盛安冬..基于一致性的分布式多站纯方位目标跟踪算法[J].计算机与数字工程,2013,41(6):904-907,4.基金项目
国家自然科学基金项目(编号:61104186,6127306) （编号:61104186,6127306）
江苏省自然科学基金(编号:BK2012801)资助. （编号:BK2012801）
