基于地心坐标系的多传感器Unscented卡尔曼配准与目标跟踪算法[EB/OL]
北京：中国科技论文在线
关键词： 多传感器;地心坐标系;Unscented卡尔曼算法;配准;目标跟踪 Liao Haijun *
提出了一种Unscented卡尔曼配准与目标跟踪算法
最后的仿真结果说明算法较好地解决了远距离的传感器配准与目标跟踪
而在实际目标跟踪方面应用广泛的扩展卡尔曼算法因其难于实现而逐渐被Unscented卡尔曼所替代
and the extended kalman filter algorithm, which is widely used for tracking and estimation, is gradually replaced by the unscented kalman filter due to its difficulty to implement
A registration and target tracking algorithm with unscented kalman filter based on Earth-Centered Earth-Fixed Coordinate System is presented
This algorithm considers not only the geometry of the global, but also the easy to implement the UKF
Finally, the simulative results are show the algorithm has better solved the registration and tracking between the long distance sensors
Keywords： Multi-sensors; ECEF; UKF; Registration; target tracking 下载PDF阅读器 PDF全文下载： 初稿 （ 282 ） 作者简介： 通信联系人： 【收录情况】 中国科技论文在线： 廖海军
基于地心坐标系
） 摘要： 现有的传感器配准技术多基于球极投影
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