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基于FPGA的车辆振动信号提取方法
引用本文:杨澜,赵祥模,惠飞,史昕,王润民.基于FPGA的车辆振动信号提取方法[J].吉林大学学报(信息科学版),2012,30(4):347-354.
作者姓名:杨澜  赵祥模  惠飞  史昕  王润民
作者单位:长安大学 信息工程学院,西安 710064
基金项目:国家“863”高科技计划基金资助项目,长安大学中央高校基本科研业务费专用资金资助项目
摘    要:为了从车辆复杂噪声背景中实时提取陀螺仪的有效振动信号,在分析弱信号特征提取方法的基础上,针对自适应滤波算法处理相关信号时收敛速度降低的缺点,提出一种适用于FPGA(Field Programmable Gata Array)的自适应步长LMS(Least Mean Square)算法.该算法通过建立步长和误差信号相关值...

关 键 词:车辆振动信号  强背景噪声  信号提取  LMS算法  变步长  FPGA实现

Vehicle Vibration Signal Extraction Based on FPGA
YANG Lan , ZHAO Xiang-mo , HUI Fei , SHI Xin , WANG Run-min.Vehicle Vibration Signal Extraction Based on FPGA[J].Journal of Jilin University:Information Sci Ed,2012,30(4):347-354.
Authors:YANG Lan  ZHAO Xiang-mo  HUI Fei  SHI Xin  WANG Run-min
Institution:School of Information Engineering|Changan University|Xian 710064|China
Abstract:In order to obtain the desired signal of dual-axis inclinometer from the complex automotive environment,a LMS(Least Mean Square) algorithm for reducing the convergence speed to process the related data is presented,it presents a self-adaptation step LMS algorithm by establishing the non-linear relationship between the step and the error,so as to the step is interrelated with the true signal for reducing the algorithm sensitivity to noise.To cope with the problem of superiority and correctness for applying to the vehicle vibration signal extraction,the learning curves of algorithm are gained by inputting the data with additive white noise of time domain.A comparison of them is made by convergence speed and computation complexity index.The result shows that the novel algorithm is reliable.The vehicle acceleration signal extraction experiment shows that it removes the vehicle environmental impact of the dual-axis inclinometer,and restrains its own output noise.Based on the self-adaptive step LMS algorithm,it proposes and implements a scalable FIR(Finite Impulse Response)filter structure on FPGA(Field Programmable Gata Array).By reusing of fist-order filter unit to complement the multi-stage cumulative,it achieves 256 filter experiments on the largest FPGA chip.The result indicates that the FIR filter structure full use of chip resources,processing speed highly,reliability highly and apply for the low speed for vehicles attitude measurement system.
Keywords:vehicle vibration signal  heavy background noise  signal extraction  least mean square(LMS) algorithm  variable step size  field programmable gata array(FPGA) implementation
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