Doppler Spread Estimation in Mobile Communication Systems

Ko, Young Chai

doi:10.1093/ietcom/e88-b.2.724

Cited by 7 publications

(7 citation statements)

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“…Fig.6 plot the probability for CNR=-and CNR=30dB, respectively. The proposed algorithm estimates more correctly compared to the conventional algorithm referred in [5] when fd is between 15 to 25Hz. The conventional algorithm referred in [6] provides rough estimation.…”

Section: System and Signal Modelsmentioning

confidence: 93%

“…Fig.7 shows the probability for CNR=20dB. In this case, both Prob(S mode fd) and Prob(M mode fd) of the conventional algorithm [5] are deteriorated because of the AWGN. The conventional algorithm [6] can not estimate S mode.…”

Section: System and Signal Modelsmentioning

confidence: 98%

“…However, these methods hardly consider frequency selective fading channel. A correlation based approach that estimates the Doppler frequency by comparing the estimated correlation value with the theoretical value of the correlation function is proposed in [5]. A phase rotation of a complex impulse response is reported in [6] for Doppler frequency estimation.…”

Section: Introductionmentioning

confidence: 99%

“…Most adaptive techniques require knowledge if a mobile is in slow (S mode), medium (M mode) or fast mode (F mode) [5]. In Table I, three bin division reported in [2] is shown, where fd denotes the maximum Doppler frequency.…”

Section: Introductionmentioning

confidence: 99%

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Doppler Frequency Estimation Schemes for Multi-carrier Systems

Sugawara

Miyanaga

2006

2006 International Symposium on Communications and Information Technologies

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A new Doppler frequency estimation algorithm for multi-carrier systems is proposed. In the proposed algorithm, a impulse response is estimated at first. Next, a path whose energy is highest of all paths of the impulse response is selected, and it is called a maximum response. Since the maximum response includes Rayleigh wave, a time correlation of the maximum response is used to estimate the Doppler frequency. The proposed algorithm shows good performance in low CNR.

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Section: System and Signal Modelsmentioning

confidence: 93%

Section: System and Signal Modelsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Doppler Frequency Estimation Schemes for Multi-carrier Systems

Sugawara

Miyanaga

2006

2006 International Symposium on Communications and Information Technologies

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“…Two possible approaches can be taken to counter this problem: 1) the fading correlation and the SNR can be estimated [9]- [11] and then the estimates can be used to compute the coefficients, and b) adaptive algorithms can be employed to directly compute the coefficients [9], [12].…”

mentioning

confidence: 99%

On the Robustness of Decision-Feedback Detection of DPSK and Differential Unitary Space-Time Modulation in Rayleigh-Fading Channels

Bhukania

Schniter²

2004

IEEE Trans. Wireless Commun.

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Abstract-Decision-feedback differential detection (DFDD) of differential phase-shift keying (DPSK) and differential unitary space-time modulation (DUST) in Rayleigh-fading channels exhibits significant performance improvement over standard single-symbol maximum-likelihood detection. However, knowledge of channel fading correlation and signal-to-noise ratio (SNR) is required at the receiver to compute the feedback coefficients used in DFDD. In this letter, we investigate the robustness of the DFDD to imperfect knowledge of the feedback coefficients by modeling the mismatch between estimated feedback coefficients and ideal coefficients in terms of mismatch between the estimated values of fading correlation and SNR and the true values. Under the assumption of a block-fading channel when nondiagonal DUST constellations are used and a continuous fading channel otherwise, we derive exact and Chernoff bound expressions for pair-wise word-error probability and then use them to approximate the bit-error rate (BER), finding close agreement with simulation results. The relationships between BER performance and various system parameters, e.g., DFDD length and Doppler mismatch, are also explored. Furthermore, the existence of an error floor in the BER-vs-SNR curve is investigated for the infinite-length DFDD. For the special case of Jakes' fading model, it is shown that the error floor can be removed completely even when the Doppler spread is over-estimated.

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Mean angle of arrival, angular and Doppler spreads estimation in multiple‐input multiple‐output system

Rejeb

Bousnina

Salah

et al. 2015

IET signal process.

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In this paper, the authors propose a new method to simultaneously estimate the mean angle of arrival (AoA), the angular spread (AS) and the maximum Doppler spread (DS). They exploit the multiple-input multiple-output (MIMO) Rayleigh channel with uniform linear arrays at both the transmitter and the receiver. They also consider the Gaussian and the Laplacian angular distributions for the incoming AoAs. The proposed method uses the first and the second derivatives of the received signals cross-correlation functions. They take as benchmarks two estimators from the literature for the three parameters estimates. The spread root multiple signal classification (MUSIC) (SRM) estimator is used for the mean AoA and the AS parameters, whereas the auto-correlation function (ACF)-based approach is considered for the maximum DS estimates. These methods were developed for single-input multiple-output and singleinput single-output systems. In this paper, the authors extend these algorithms to a MIMO configuration. Simulation results show that their algorithm outperforms the SRM one for the mean AoA and the AS estimation. For the maximum DS estimation, their approach offers lower error rate than the ACF-based one when the AS and the mean AoA are small. For higher values of the couple AS and mean AoA, their algorithm presents similar results.

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Doppler Spread Estimation in Mobile Communication Systems

Cited by 7 publications

References 0 publications

Doppler Frequency Estimation Schemes for Multi-carrier Systems

Doppler Frequency Estimation Schemes for Multi-carrier Systems

On the Robustness of Decision-Feedback Detection of DPSK and Differential Unitary Space-Time Modulation in Rayleigh-Fading Channels

Mean angle of arrival, angular and Doppler spreads estimation in multiple‐input multiple‐output system

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