Study of Road Surface Profile Based on Mazimum Entropy Methods

摘要：

The classical road spectrum estimation (FFT) is often used to deal with the data in traditional road spectum testing. The test datum after windowed often leads to side-lob, false peaks and low precise analyse result. This paper uses the maximum entropy method to cope with the road response spectum signal, analyzes the effects of the AR modeling order choosing to the road spectum estimation, gets the reasonable order, studies the energy distribution of measured grade-C road spectum and compares the difference between the classical FFT spectrum estimation and the maximum entropy estimation. The research result shows that the maxinum entropy estimation has special advantages of high resolution and little peak deviation. Using the method to deal with short records road spectum signal not only overcomes the defects of classical road spectum estimation, but also be easy to realize in projects.

关键词： Road surface profile Response spectum signal FFT spectrum estimation Mazimum entropy methods

作者: Guosheng Zhang Tianxia Zhang Wei Zhou Daqian Zhang Xiangyu Meng Lixin Guo

作者单位: School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110004, China Research Institute of Highway Ministry of Communications, Beijing 100088, China School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110004, China Sheny

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1198-1202

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）