| 基于当前统计模型的目标跟踪改进算法仿真分析 |
| |
| 引用本文： | 张安清,文聪,郑润高.基于当前统计模型的目标跟踪改进算法仿真分析[J].雷达与对抗,2012(1):24-27. |
| |
| 作者姓名： | 张安清 文聪 郑润高 |
| |
| 作者单位： | 海军大连舰艇学院信息与通信工程系 |
| |
| 摘 要： | 针对当前统计模型跟踪机动目标算法存在误差较大问题,采用加速度方差与机动频率自适应技术,能够实现对任意机动情况下的目标精确跟踪。经计算机仿真,比较了加速度方差与机动频率自适应方法的跟踪性能,表明改进算法具有更好的适应性。
|
| 关 键 词： | 目标跟踪 当前统计模型 机动频率 加速度方差 卡尔曼滤波 |
The simulation analysis of improved target tracking algorithms based on current statistical model |
| |
| ZHANG An-qing,WEN Cong,ZHENG Run-gao.The simulation analysis of improved target tracking algorithms based on current statistical model[J].Radar & Ecm,2012(1):24-27. |
| |
| Authors: | ZHANG An-qing WEN Cong ZHENG Run-gao |
| |
| Affiliation: | (Department of Information and Communication Engineering,Dalian Naval Academy,Dalian 116018,China) |
| |
| Abstract: | In terms of the serious error problem of the maneuvering target tracking algorithm based on the current statistical model,the methods of adopting the technologies of the acceleration variance and the adaptive maneuvering frequency to realize the accurate target tracking under any maneuverable circumstances are proposed.The tracking performances of the two methods are compared with those of the conventional method through the computer simulation,which indicate that the improved algorithms are of better adaptability. |
| |
| Keywords: | target tracking current statistical model maneuvering frequency acceleration variance Kalman filtering |
| 本文献已被 CNKI 维普 等数据库收录！ |
