Mobile Unit Velocity Estimation Based on the Instantaneous Frequency of the Received Signal

Azemi, Ghasem; Senadji, Bouchra; Boashash, Boualem

doi:10.1109/tvt.2004.827157

Cited by 39 publications

(24 citation statements)

References 26 publications

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“…We have also compared the performance of the proposed MS velocity estimation algorithm with several existing methods, namely: the instantaneous frequency (IF) method [6], the level-crossing rate (LCR) method [1], the zero-crossing rate (ZCR) method [1], and the covariance-based (COV) estimation method [2] 3 . All of these methods assume isotropic scattering.…”

Section: The Performance Of the Ms Velocity Estimator Is Evaluated Inmentioning

confidence: 99%

Velocity Estimation in Wideband Mobile Stations Equipped With Multiple Antennas

Umansky

Pätzold

2009

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

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Abstract-A new method is proposed for estimating the velocity of wideband mobile stations (MSs) equipped with multiple antennas. The MS speed is determined using the well-known relationship between the direction-of-arrivals (DOAs) and the Doppler frequency shifts experienced by the multipath signal components. The method is based on the assumption that the multipath signal components with the DOAs confined to a small angular interval are clustered in the delay domain. Additionally, we assume that different intervals of the DOAs correspond to different intervals of the propagation delays. The performance of the proposed method is assessed by simulations. The algorithm has a low computational cost and is therefore suitable for realtime implementations.

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Section: The Performance Of the Ms Velocity Estimator Is Evaluated Inmentioning

confidence: 99%

Velocity Estimation in Wideband Mobile Stations Equipped With Multiple Antennas

Umansky

Pätzold

2009

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

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“…It considers a novel Doppler adaptive noise suppression process in the frequency domain to reduce the effect of the additive noise. In [10][11][12], Azemi et al investigate the maximum DS estimation using three different techniques. The first approach is based on the reduced interference time-frequency distribution of the received signals [10].…”

Section: Introductionmentioning

confidence: 99%

“…The first approach is based on the reduced interference time-frequency distribution of the received signals [10]. The second one considers the ambiguity function [11], while the proposed algorithm in [12] uses the instantaneous frequency of the received signal. The two-ray (TR) approximation proposed in [13] offers a robust maximum DS estimation.…”

Section: Introductionmentioning

confidence: 99%

Joint mean angle of arrival, angular and Doppler spreads estimation in macrocell environments

Rejeb

Bousnina

Salah

et al. 2014

EURASIP J. Adv. Signal Process.

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In this paper, we propose a new low-complexity joint estimator of the mean angle of arrival (AoA), the angular spread (AS), and the maximum Doppler spread (DS) for single-input multiple-output (SIMO) wireless channel configurations in a macrocell environment. The non-line-of-sight (NLOS) case is considered. The space-time correlation matrix is used to jointly estimate the three parameters. Closed-form expressions are developed for the desired parameters using the modules and the phases of the cross-correlation coefficients. Simulation results show that our approach offers a better tradeoff between computational complexity and accuracy than the most recent estimators in the literature.

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“…Doppler spread estimation has received extensive attentions for single carrier communication systems [17][18][19][20][21][22][23][24][25][26]. However, there are very limited works on Doppler spread estimation for OFDM systems [27,28,29,30].…”

Section: Introductionmentioning

confidence: 99%

Doppler Spread Estimation for Broadband Wireless OFDM Systems Over Rician Fading Channels

Tao

Xiao

2009

Int J Wireless Inf Networks

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In this paper, we present a new Doppler spread estimation algorithm for broadband wireless orthogonal frequency division multiplexing (OFDM) systems with fast time-varying and frequency-selective Rayleigh or Rician fading channels. The new algorithm is developed by analyzing the statistical properties of the power of the received OFDM signal in the time domain, thus it is not affected by the influence of frequency-domain inter-carrier interference (ICI) introduced by channel variation within one OFDM symbol. The operation of the algorithm doesn't require the knowledge of fading channel coefficients, transmitted data, or signal-to-noise ratio (SNR) at the receiver. It is robust against additive noise, and can provide accurate Doppler spread estimation with SNR as low as 0 dB. Moreover, unlike existing algorithms, the proposed algorithm takes into account the inter-tap correlation of the discrete-time channel representation, as is the case in practical systems. Simulation results demonstrate that this new algorithm can accurately estimate a wide range of Doppler spread with low estimation latency and high computational efficiency.

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Mobile Unit Velocity Estimation Based on the Instantaneous Frequency of the Received Signal

Cited by 39 publications

References 26 publications

Velocity Estimation in Wideband Mobile Stations Equipped With Multiple Antennas

Velocity Estimation in Wideband Mobile Stations Equipped With Multiple Antennas

Joint mean angle of arrival, angular and Doppler spreads estimation in macrocell environments

Doppler Spread Estimation for Broadband Wireless OFDM Systems Over Rician Fading Channels

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