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This paper investigates biases of a parametric estimator of Doppler shift in mobile communications, and the result indicates that the conventional iterative autocorrelation function (ACF) estimator yields a significant estimation error at high mobile speeds. Therefore, a simple linear fitting is proposed to refine the Doppler shift estimation, in which only one fitting expression is required for different...
This paper puts forward an improved channel parameter estimator based on the level crossing rate (LCR) computation and double sampling rate (DSR) signal processing, where the appropriate sampling rate is studied by the numerical computation. Subsequently, by exploiting the selected sampling rate, we can estimate both the Doppler shift and the signal-to-noise ratio (SNR) with a high accuracy. Extensive...
This paper presents a joint estimator for Doppler shift and SNR in wireless communications, which is derived from the relation of level crossing rate (LCR) and signal-to-noise ratio (SNR) in mobile propagations. Computer simulations clearly show a good performance for our joint estimator in a wide range of SNRs and velocities.
This paper presents a signal-to-noise ratio (SNR) insensitive Doppler shift estimator based on the square envelope autocorrelation function (SEACF) of mobile propagation channels, where an iterative processing is employed to eliminate the approximation error and the effects of additive noise. Both theory and simulation show a good SNR-insensitive performance in a wide range of velocities and SNRs.
A novel iterative Doppler shift estimator is proposed in this letter for the Doppler shift estimation in very low signal- noise-ratio (SNR) environment. The proposed method exploits the logarithm envelope (LE) of the mobile propagation channel, and iteratively finds the minimum mean square error (MMSE) estimation of the Doppler shift. Extensive simulation results conducted under a wide range of the...
In this paper, the Doppler shift of the time-varying multi-path channel is estimated by calculating the rate of minimum (ROM) of the signal envelope of the channel coefficient estimates at the strongest path. Then followed by an analysis of the effect of noise, we proposed a modification to make the estimation performance robust to signal-to-noise ratio (SNR), and simulations show a great performance...
A novel iterative Doppler shift estimator is proposed in very low signal-noise-ratio (SNR) environments in single carrier mobile systems. The proposed method exploits the logarithm envelope (LE) of channel estimates, and iteratively finds the minimum mean square error (MMSE) estimation of Doppler shift. Extensive simulations conducted under a wide range of noise corruption clearly show that the proposed...
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