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http://dx.doi.org/10.5050/KSNVE.2016.26.7.844

A Study on Road Noise Extraction Methods for Listening  

Kook, Hyung-Seok (Department of Automotive Engineering, Kookmin University)
Kim, Hyoung-Gun (Hyundai Motor Company)
Cho, Munhwan (Hyundai Motor Company)
Ih, Kang-Duck (Hyundai Motor Company)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.26, no.7, 2016 , pp. 844-850 More about this Journal
Abstract
This study pertains to the extraction of the road noise component of signals from a vehicle's interior noise via the traditional frequency domain and time domain system identification methods. For road noise extraction based on the frequency domain system identification method, the appropriate matrix inversion strategy is investigated and causal and non-causal impulse response filters are compared. Furthermore, appropriate data lengths for the frequency domain system identification method are investigated. In addition to the traditional road noise extraction methods based on frequency domain system identification, a new approach to extract road noise via the time domain system identification method based on a parametric input-output model is proposed and investigated in the present study. In this approach, instead of constructing a higher order model for the full-band road noise, input and output signals are processed in the subband domain and lower order parametric models optimal to each subband are determined. These parametric models are used to extract road noises in each subband; the full band road noise is then reconstructed from the subband road noises. This study shows that both the methods in the frequency domain and the time domain successfully extract the road noise from the vehicle's interior noise.
Keywords
Road Noise Extraction; System Identification Method; Subband Signal Processing;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Strang, G., 1988, Linear Algebra and Its Applications, 3rd ed., Harcourt Brace Jovanovich, Inc. Orlando, Florida.
2 Oppenheim, A. V. and Schafer, R. W., 1989, Discrete-time Signal Processing, Prentice-Hall, Inc., Englewood Cliffs, New Jersey.
3 Ljung, L., 1999, System Identification: The Theory for the User, 2nd ed., Prentice-Hall PTR, Englewood Cliffs, New Jersey.
4 Vetterli, M. and Kovacevic, J., 1995, Wavelets and Subband Coding, Prentice-Hall PTR, Englewood Cliffs, New Jersey.
5 Kook, H.-S., Ih, K.-D. and Kim, H.-G., 2015, Modeling and Simulation of Road Noise by Using and Autoregressive Model, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 25, No. 12, pp. 888-894.   DOI
6 Bendat, J. S. and Piersol, A. G., 2000, Random Data: Analysis and Measurement procedures. 3rd ed., John Wiley & Sons, Inc. New York.
7 Ko, K.-H., Heo, S.-J. and Kook, H., 2003, Integrated Test and Evaluation for Improvement of Vehicle Road Noise, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 13, No. 5, pp. 327-333.   DOI
8 Cho, Y.-H., Ko, K.-H., Heo, S.-J. Kook, H., Kim, C.-M. and Ki, J.-H., 2002, A Test Procedure for Road Noise Evaluation, Proceedings of the KSNVE Annual Spring Conference, pp. 980-985.