| 基于模糊神经网络融合的目标自适应跟踪算法 |
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| 引用本文： | 张圆,郭晨,谢春思,梁勇.基于模糊神经网络融合的目标自适应跟踪算法[J].大连海事大学学报(自然科学版),2007,33(2):120-123. |
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| 作者姓名： | 张圆 郭晨 谢春思 梁勇 |
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| 作者单位： | 大连海事大学,自动化与电气工程学院,辽宁,大连,116026;海军大连舰艇学院,装备系统与自动化系,辽宁,大连,116018;大连海事大学,自动化与电气工程学院,辽宁,大连,116026;海军大连舰艇学院,装备系统与自动化系,辽宁,大连,116018 |
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| 基金项目： | 国家自然科学基金资助项目(60474014)，高等学校博士学科点专项科研基金资助项目(20040151007)，交通部应用基础研究资助项目(200432922504) |
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| 摘 要： | 为解决基于“当前”统计模型的自适应滤波器对弱机动,特别是非机动目标跟踪精度下降问题,提出基于模糊神经网络的目标自适应跟踪算法,对并行工作的两滤波器进行数据融合.仿真结果表明:与一般自适应算法相比,该算法对各种机动程度的目标跟踪精度均有不同程度的提高,能更好地适应目标的各种运动形式,尤其适用于对目标的速度和加速度估计精度要求较高的场合,在指控、火控系统中具有实用价值.
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| 关 键 词： | 机动目标跟踪 模糊神经网络 自适应算法 卡尔曼滤波 |
| 文章编号： | 1006-7736（2007）02-0120-04 |
| 修稿时间： | 2007-03-04 |
Adaptive algorithm in target-tracking based on fuzzy neural networks information fusion |
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| ZHANG Yuan,GUO Chen,XIE Chun-si,LIANG Yong.Adaptive algorithm in target-tracking based on fuzzy neural networks information fusion[J].Journal of Dalian Maritime University,2007,33(2):120-123. |
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| Authors: | ZHANG Yuan GUO Chen XIE Chun-si LIANG Yong |
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| Affiliation: | 1. College of Automation and Electrical Engineering, Dalian Maritime University, Dalian 116026, China; 2. Department of Equipment System and Automation Dalian Naval Academy, Dalian 116018, China |
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| Abstract: | This paper presented a target adaptive tracking algorithm based on fuzzy neural networks to solve problem of tracking precision drop for low-maneuvering and non-maneuvering targets based on current statistic model.The method made a data fusion of two filters working in parallel.Simulation results show that the proposed algorithm can improve target-tracking accuracy for different kinds of maneuvering degree and adapt to all kinds of movement forms of the target,especially to the situation when high filtering precision for velocity and acceleration of the target is needed.It has practical value of reference for the research of fire control system and command control system. |
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| Keywords: | maneuvering target tracking fuzzy neural networks adaptive tracking algorithm Kalman filtering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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