标题:A vehicle weigh-in-motion system based on Hopfield Neural Network adaptive filter
作者:Rui, Zhang ;Wen-Hong, Lv ;Yin-Jing, Guo
通讯作者:Rui, Z
作者机构:[Rui, Zhang ] College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao,Shandong, China;[Yin-Jing, Guo ] 更多
会议名称:2010 International Conference on Communications and Mobile Computing, CMC 2010
会议日期:April 12, 2010 - April 14, 2010
来源:2010 WRI International Conference on Communications and Mobile Computing, CMC 2010
出版年:2010
卷:3
页码:123-127
DOI:10.1109/CMC.2010.11
摘要:A processing method of vehicle WIM signals is researched in this paper. According to the characteristics of vehicle weigh-in-motion signals, a self-adaptive filtering variable step size LMS algorithm based on neural network is proposed to replace the traditional self-adaptive filtering method. This method can filter out the noise in each band of WIM signal. In different circumstances, for different vehicle types, it has good adaptability, high accuracy and high speed. Based on this method of signal processing, a vehicle WIM system based on Hopfield Neural Network adaptive filter is developed, a high-performance chip of TMS32C2812 is selected to design a high- performance system. This system can measure the weight of vehicle on highway accurately and timely. © 2010 IEEE.
收录类别:EI
资源类型:会议论文
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