The 8th International Conference on Communication Systems, 2002. ICCS 2002.
DOI: 10.1109/iccs.2002.1182535
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A new maximum Doppler frequency estimation algorithm in frequency domain

Abstract: In this paper, a novel maximum Doppler spread estimation algorithm for mobile communication systems is proposed. The proposed algorithm uses a fast Fourier transform (FFT) o f received pilot signals, which are related with the maximum Doppler frequency f,. The proposed algorithm does not need to know any other channel information such as signal to noise ratio(SNR) because o f using only the distribution o f a fading channel power spectrum. Especially, the proposed algorithm shows good performance over wide Dop… Show more

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Cited by 4 publications
(1 citation statement)
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“…Accurate frequency detection of a periodic signal embedded in noise is a problem that has been largely studied for several applications. Many methodologies [ 4 7 ] have been proposed for tackling this problem, most of them relaying on Fast Fourier Transform (FFT) computation. Unfortunately, as it has been thoroughly shown, the FFT offers a fast processing engine, but its performance and resolution heavily depend on the signal-to-noise ratio (SNR) and the number of samples from the analyzed signal, jeopardizing its compliance on certain application requirements as those of frequency monitoring in power systems.…”
Section: Introductionmentioning
confidence: 99%
“…Accurate frequency detection of a periodic signal embedded in noise is a problem that has been largely studied for several applications. Many methodologies [ 4 7 ] have been proposed for tackling this problem, most of them relaying on Fast Fourier Transform (FFT) computation. Unfortunately, as it has been thoroughly shown, the FFT offers a fast processing engine, but its performance and resolution heavily depend on the signal-to-noise ratio (SNR) and the number of samples from the analyzed signal, jeopardizing its compliance on certain application requirements as those of frequency monitoring in power systems.…”
Section: Introductionmentioning
confidence: 99%