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基于Elman神经网络的多目标跟踪技术的研究
引用本文:商庆华,邹海英,曹硕,吴丽华.基于Elman神经网络的多目标跟踪技术的研究[J].信息技术,2008,32(9).
作者姓名:商庆华  邹海英  曹硕  吴丽华
作者单位:1. 哈尔滨理工大学测控技术与通信工程学院,哈尔滨,150040
2. 中国电子科技集团第二十二研究所,新乡,453000
基金项目:黑龙江省教育厅科学技术研究项目
摘    要:首先叙述了Elman神经网络的结构、原理和学习方法.针对Elman网络的学习率对网络收敛速度及稳定性影响很大,提出了一种可以自适应调整学习速率的改进的Elman网络学习算法;并基于Elman神经网络,采用模糊推理进行数据关联的方法,结合扩展卡尔曼滤波,提出一种新的多目标跟踪方法.最后应用此方法采用两个传感器对两个运动目标进行跟踪实验,并与BP神经网络对比得出仿真结果,实验结果表明,所提出的方法是一种可行的多目标跟踪方法.

关 键 词:多目标跟踪  Elman神经网络  模糊推理  扩展卡尔曼滤波

Study of multitarget tracking based on Elman neural network
SHANG Qing-hua,ZOU Hai-ying,CAO Shuo,WU Li-hua.Study of multitarget tracking based on Elman neural network[J].Information Technology,2008,32(9).
Authors:SHANG Qing-hua  ZOU Hai-ying  CAO Shuo  WU Li-hua
Affiliation:SHANG Qing-hua1,ZOU Hai-ying1,CAO Shuo2,WU Li-hua1(1.College of Measure-control Technology & Communication Engineering,Harbin Universityof Science , Technology,Harbin 150040,China,2.The 22th Research Institute of China Electronics Technology Group Corporation,Xinxiang 453000,China)
Abstract:The structure,theory and the learning algorithm of Elman Neural Network has been introduced firstly.Since the study rate has a great impact on the convergence rate and the stability in Elman Neural Network,we propose an improved learning algorithm,which can modify the study rate adaptively.Furthermore,a new multi-target tracking method is brought out based on Elman Neural Network,making use of fuzziness theory to carry out data association and combining with Extend Kalman Filter(EKF).At last,according to th...
Keywords:multi-target tracking  Elman neural networks  fuzziness theory  extended Kalman filter  
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