| 一种基于IMM的自适应跟踪数据率算法 |
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| 引用本文： | 冯俊涛.一种基于IMM的自适应跟踪数据率算法[J].火控雷达技术,2007,36(2):1-5. |
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| 作者姓名： | 冯俊涛 |
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| 作者单位： | 华东电子工程研究所,合肥,230031 |
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| 摘 要： | 针对交互式多模型(IMM),提出一种自适应跟踪数据率的算法.该算法利用IMM模型更新概率对各模型产生的采样间隔时间进行混合估计,产生系统的自适应采样间隔时间.在保证跟踪精度的基础上,有效地降低了跟踪采样次数.仿真结果表明了方法的有效性.
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| 关 键 词： | 交互式多模型(IMM) 自适应跟踪数据率 模型概率 |
| 文章编号： | 1008-8652（2007）02-01-05 |
| 修稿时间： | 2006-10-23 |
An Adaptive Tracking Data Rate Algorithm Based on Interactive Multi-Model |
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| Feng Juntao.An Adaptive Tracking Data Rate Algorithm Based on Interactive Multi-Model[J].Fire Control Radar Technology,2007,36(2):1-5. |
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| Authors: | Feng Juntao |
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| Affiliation: | East China Research Institute of Electronic Engineering, Hefei, 230031 |
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| Abstract: | An adaptive tracking data rate algorithm based on interactive multi-model(IMM) is proposed.The sampling interval time of each model caused by IMM innovative probability is hybrid estimated so as to generate the adaptive sampling interval time of the system.On the basis of ensuring tracking accuracy,the tracking sampling times are decreased effectively.The simulation result shows the effectiveness of this algorithm. |
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| Keywords: | interactive multi-model(IMM) adaptive tracking data rate model probability |
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