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국형석(Hyung-Seok Kook),김형건(Hyoung-Gun Kim),조문환(Munhwan Cho),이강덕(Kang-Duck Ih) 한국소음진동공학회 2016 한국소음진동공학회 논문집 Vol.26 No.7
This study pertains to the extraction of the road noise component of signals from a vehicles 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 vehicles interior noise.
국형석(Hyung-Seok Kook),김형건(Hyoung-Gun Kim),조문환(Munhwan Cho),이강덕(Kang-Duck Ih) 한국소음진동공학회 2016 한국소음진동공학회 학술대회논문집 Vol.2016 No.4
This study is concerned about extracting the road noise component of signal from vehicle’s interior noise based on traditional system identification methods. Two system identification methods are considered: one method in the frequency domain and another in the time domain. In the case of road noise extraction method based on frequency domain system identification method, proper matrix inversion strategy is investigated and causal and noncausal impulse response filters are compared. Appropriate data lengths for the frequency domain system identification method and for the time domain system identification method are investigated.