Abstract
The signal-to-noise ratio (SNR) and Doppler shift significantly affect vehicular communication. Therefore, we investigate the biases of an iterative Doppler shift estimator by addressing the approximation of the autocorrelation function (ACF), and then explicitly view the estimation errors occurring at high vehicle speeds. Accordingly, a refined process by exploiting the interpolation operation is proposed to reduce the estimation bias at high moving speeds. Subsequently, an SNR estimator is presented by utilizing the bias variation in different iterations, where the estimates of the Doppler shift in the first and final rounds of iterations are combined to construct a bias ratio, and this ratio is then employed to derive an SNR estimator. Computer simulations have shown that our proposed algorithm achieves accurate estimates for both the SNR and Doppler shift in wide ranges of working SNRs and mobile speeds, i.e., at a simulated velocity approaching 300 km/h.
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