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| 基于多传感器融合式航迹起始算法 | |
| 引用本文： | 张宇,唐慧佳,鹿小莺,吴昊.基于多传感器融合式航迹起始算法[J].成都信息工程学院学报,2009,24(4):366-369. |
| 作者姓名： | 张宇 唐慧佳 鹿小莺 吴昊 |
| 作者单位： | 1. 西南交通大学信息科学技术学院,四川,成都,610031 2. 北京跟踪与通信技术研究所,北京,100094 3. 中国西南电子技术研究所,四川,成都,610036 |
| 基金项目： | 国家自然科学基金资助项目 |
| 摘 要： | 提出了一种基于聚类分析和Kalman 滤波相结合的多传感器航迹起始算法.根据多传感器同一时刻对同一目标的观测值在空间呈团状的特征,运用聚类的方法解决数据融合问题.采用一种改进的粒子群(PSO)优化算法对多传感器观测数据进行聚类,结合聚类中心和目标预测值,应用Kalman滤波器估计目标状态,从而实现航迹起始.实验结果表明,该方法有效. |
| 关 键 词： | 粒子群算法 聚类 数据融合 卡尔曼滤波 |
Algorithm of track initiation based on multi-sensor data fusion |
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| ZHANG Yu,TANG Hui-jia,LU Xiao-ying,WU Hao.Algorithm of track initiation based on multi-sensor data fusion[J].Journal of Chengdu University of Information Technology,2009,24(4):366-369. | |
| Authors: | ZHANG Yu TANG Hui-jia LU Xiao-ying WU Hao |
| Institution: | ZHANG Yu1,TANG Hui-jia1,LU Xiao-ying2,WU Hao3 (1.School of Information Science & Technology,SWJTU,Chengdu 610031,China,2. Beijing Institute of Tracking & Communication Technology,Beijing 100094,3.Southwest China Institute of Electronic Technology,Chengdu 610036,China) |
| Abstract: | An algorithm of the multi-sensor data fusion for the track initiation is presented based on clustering analysis and Kalman filtering.The feature that the measurements of the same target at the same time have spherical shape makes it possible to use the clustering technique to solve the data fusion problem.An improved PSO algorithm is used to cluster the observation data,combine the cluster centers with the predicted target values,estimate the state of the targets with the Kalman filter and realized the trac... |
| Keywords: | PSO clustering data fusion Kalman filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |