Title :
The methods of power spectrum estimation based on measured pavement
Author :
Wang Guo-lin ; Liu Yong-chen
Author_Institution :
Sch. of Automobile & Traffic Eng., Jiangsu Univ., Zhenjiang, China
Abstract :
Surface elevation data on a certain road are tested and extracted in this paper. The sampling speed and other information are sized at the same time. After pretreated the elevation data by finite impulse response filter, finished the power spectrum estimation by the methods of traditional algorithm and improved algorithm, and obtained power spectrum estimation on measured pavement. The given power spectrum are in accordance with national standards to verify the rationality. It is found that in the given error condition, power spectrum estimation are accurate on measured road roughness by using appropriate windowed average periodogram method. This will be the basis for three-dimensional reconstruction of the virtual road and vehicle simulation test.
Keywords :
FIR filters; roads; sampling methods; structural engineering; surface topography measurement; finite impulse response filter; pavement measurement; power spectrum estimation method; road roughness measurement; sampling speed; surface elevation data; vehicle simulation test; virtual road reconstruction; windowed average periodogram method; Band pass filters; Correlation; Estimation; Finite impulse response filter; Roads; Spectral analysis; finite impulse response filter; improved algorithm; power spectrum estimation; road roughness;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5776999