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Modeling Doppler Spectrum of Correlated Double Ring Channel Model for V2V Communication

Correlated double-ring channels (CDR) models produce a bigger Doppler shift caused by user movement on the vehicles. If this occurs in a multipath fading situation, the Doppler spread will rapidly increase, degrading the system. To circumvent this, we must model the Doppler spectrum and detect the Doppler spread of the channels. This work used the Fourier transform method of the complex envelope after passing through the autocorrelation process to model the Doppler spectrum and detect the Doppler spread of the channel model. We also used Rayleigh and Rician distributions, as well as the autocorrelation function (ACF), to validate the channel model under various speed scenarios. The Doppler spectrum model's results could be utilized to calculate Doppler spread detection that is accurate to the actual Doppler spread. We evaluated our method for detecting Doppler spread with various speed scenarios and found that it had a 99.77% accuracy rate. The results show that our approach can be used to detect Doppler spread and that the result of Doppler spread detection may be utilized as a reference for other ways to work with.