| 引用本文: | 金学波,杜晶晶,鲍佳.基于伪测量的分布式最优单步延迟航迹融合估计[J].控制理论与应用,2011,28(10):1451~1454.[点击复制] |
| JIN Xue-bo,DU Jing-jing,BAO Jia.Distributed optimal one-step-lag estimation for out-of-sequence track fusion based on pseudo-measurement for multi-sensor system[J].Control Theory and Technology,2011,28(10):1451~1454.[点击复制] |
|
| 基于伪测量的分布式最优单步延迟航迹融合估计 |
| Distributed optimal one-step-lag estimation for out-of-sequence track fusion based on pseudo-measurement for multi-sensor system |
| 摘要点击 2009 全文点击 1651 投稿时间：2010-07-05 修订日期：2010-11-08 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/j.issn.1000-8152.2011.10.CCTA100784 |
| 2011,28(10):1451-1454 |
| 中文关键词 局部估计 融合中心 无序测量数据(OOSM) 无序航迹(OOST) 分布式融合估计 |
| 英文关键词 local fusion estimation fusion center out-of-sequence measurement(OOSM) out-of-sequence track(OOST) distributed fusion estimation |
| 基金项目 国家自然科学基金资助项目(60971119); 浙江省科技厅面上项目资助项目(2009C34017). |
|
| 中文摘要 |
| 融合中心如何处理无序局部数据, 对分布式多传感器系统的运行品质至关重要. 本文将系统中的局部估计转化为伪测量, 将分布式融合估计转化为二级集中式融合估计. 将所得的伪测量兼分布式融合估计算法与单步延迟的无序测量数据(out-of-sequence measurements, OOSM)最优滤波—A1算法进行组合, 得出了分布式多传感器系统的最优单步延迟无序航迹(out-of-sequence tracks, OOST)估计算法，适用于航迹无序局部数据融合估计．该算法具有最优估计性能. |
| 英文摘要 |
| The local processing of out-of-sequence data is crucial to the operation quality of the distributed multisensor system. We treat the estimation in local nodes as the pseudo-measurement, and convert the distributed estimation to a two-level centralized fusion estimation. By combining the pseudo-measurement-distributed fusion estimation algorithm obtained above with the optimal one-step-lag out-of-sequence measurement(OOSM) filter, we develop the optimal onestep-lag out-of-sequence track(OOST) estimation algorithm. This algorithm can be applied to the fusion estimation of out-of-sequence data of tracks with optimal estimation performances. |