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| 基于粒子滤波的交互式多模型多机动目标跟踪 | |
| 引用本文： | 章飞,周杏鹏,陈小惠. 基于粒子滤波的交互式多模型多机动目标跟踪[J]. 数据采集与处理, 2011, 26(2) |
| 作者姓名： | 章飞 周杏鹏 陈小惠 |
| 作者单位： | 1. 东南大学复杂工程系统测量与控制教育部重点实验室,南京,210096;江苏科技大学电子信息学院,镇江,212003 2. 东南大学复杂工程系统测量与控制教育部重点实验室,南京,210096 3. 南京邮电大学自动化学院,南京,210046 |
| 基金项目： | 海军装备预研基金资助项目 |
| 摘 要： | 针对交互式多模型联合概率数据关联滤波算法(IMM-JPDAF)在非线性情况下跟踪精度低,并不适用于非高斯问题的情况,提出了一种基于粒子滤波的交互式多模型多机动目标跟踪算法;将交互式多模型联合概率数据关联(IMM-JPDA)与粒子滤波相结合,在交互式多模型联合概率数据关联的框架下,各模型采用粒子滤波算法处理非线性非高斯问题,避免了噪声的高斯假设和非线性部分的线性化误差。仿真结果表明,IMM-JPDA-PF算法的跟踪性能明显优于IMM-JPDAF算法,能够对杂波环境中的多机动目标进行有效跟踪。 |
| 关 键 词： | 交互式多模型 联合概率数据关联 多目标跟踪 粒子滤波 |
Interacting Multiple Model Tracking Algorithm of Multiple Maneuvering Targets Based on Particle Filter |
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| Zhang Fei,Zhou Xingpeng,Chen Xiaohui. Interacting Multiple Model Tracking Algorithm of Multiple Maneuvering Targets Based on Particle Filter[J]. Journal of Data Acquisition & Processing, 2011, 26(2) | |
| Authors: | Zhang Fei Zhou Xingpeng Chen Xiaohui |
| Affiliation: | Zhang Fei1,2,Zhou Xingpeng1,Chen Xiaohui3(1.Key Laoratory of Measurement and Control of CSE of Ministry of Education,Southeast University,Nanjing,210096,China,2.Institute of Electronics and Information,Jiangsu University of Science and Technology,Zhenjiang,212003,3.Institute of Automation,Nanjing University of Posts and Telecommunications,210046,China) |
| Abstract: | The interacting multiple model joint probabilistic data association filtering(IMM-JPDAF) algorithm has low tracking accuracy in nonlinar cases,and is inapplicabe for non-Gaussion problem.Aiming at the disadvantages,an interacting multiple model target tracking algorithm of multiple maneuvering targets based on particle filter is proposed.The interacting multiple model joint probabilistic data association IMM-JPDA combined with particle filter(PF) is under the frame of IMM-JPDA.Every model uses PF to deal wi... |
| Keywords: | interacting multiple model joint probabilistic data association multiple targets tracking particle filter |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |