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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 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.
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