Abstract:

 A channel model for vehicle (bus) cabin is proposed based on frequency-domain channel measurements according to the ultra-wideband (UWB) frequency regulation specification of China. A quasi-Gaussian window with Gaussian transition band is used to extract the measurement signal specified by UWB frequency regulation of China in the post-processing of channel modeling. Furthermore, an automatic wavelet analysis based cluster identification algorithm is proposed for the time-domain measurements instead of visual inspection. The modified Saleh-Valenzuela model is exploited as the channel model and the channel parameters are extracted statistically from channel measurement data. Results is shown that the proposed vehicle cabin UWB channel model has similar excess delay, root mean square delay spread characterization and number of main paths with the measurement data.

Key words: ultra wideband, channel modeling, vehicle cabin, cluster identification algorithm