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基于m伪随机序列的车内空传噪声传递特性辨识
引用本文:高印寒,唐荣江,梁杰,赵彤航,卢炳武,姜文君.基于m伪随机序列的车内空传噪声传递特性辨识[J].吉林大学学报(工学版),2012,42(6):1384-1389.
作者姓名:高印寒  唐荣江  梁杰  赵彤航  卢炳武  姜文君
作者单位:1. 吉林大学汽车仿真与控制国家重点实验室,长春,130022
2. 吉林大学仪器科学与电气工程学院,长春,130061
3. 中国第一汽车股份有限公司技术中心,长春,130011
基金项目:吉林省科技发展计划项目(2010036120126007)
摘    要:根据车内空气传播噪声的源-路径-接受者模型,提出了传递路径函数的m序列相关辨识方法。仿真结果表明:该方法具有很好的噪声抗干扰性能。采用复杂可编程逻辑器件CPLD为核心器件,连接外围电路,设计了移位时钟频率可调、长度可选的m序列发生器。利用m序列发生器进行实车对比实验,结果表明:m序列方法的测试误差比白噪声法小1/3,辨识精度高;测试环境的本底噪声能提高40dB(A),抗干扰性好。

关 键 词:车辆工程  空气传播噪声  m伪随机序列  相关辨识  传递函数

Identification method of vehicle interior airborne noise transfer behavior based on m pseudo-stochastic sequence
GAO Yin-han,TANG Rong-jiang,LIANG Jie,ZHAO Tong-hang,LU Bing-wu,JIANG Wen-jun.Identification method of vehicle interior airborne noise transfer behavior based on m pseudo-stochastic sequence[J].Journal of Jilin University:Eng and Technol Ed,2012,42(6):1384-1389.
Authors:GAO Yin-han  TANG Rong-jiang  LIANG Jie  ZHAO Tong-hang  LU Bing-wu  JIANG Wen-jun
Affiliation:1.State Key Laboratory of Automobile Simulation and Control,Jilin University,Changchun 130022,China;2.College of Instrumentation & Electrical Engineering,Jilin University,Changchun 130061,China;3.FAW Group Corporation R&D Center,Changchun 130011,China)
Abstract:According to the source-path-receiver model of vehicle interior airborne noise,the m pseudo-stochastic sequence correlative identification method of transfer function was proposed.Simulation results demonstrated that the method has excellent noise immunity performance.A m sequence generator with adjustable shift clock frequency and optional register series was designed by the complex programmable logic device CPLD as core and external circuit.The field tests indicated that compared with broadband white noise sweep method,the identification method based on m sequence technique has advantages in accuracy and noise suppression.The test error ratio was less than 1/3,and the background noise of test environment could increase by 40 dB(A).
Keywords:vehicle engineering  airborne noise  m pseudo-stochastic sequence  correlative identification  transfer function
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