On generalized covariance-based velocity estimation

2001

Abstract Estimating the velocity of the mobile units is of great importance in hierarchical cellular systems since the satisfactory handover of mobiles to macro or micro-cells depends on its present velocity. In this contribution, the first moment of the instantaneous frequency (IF) of the received signal, is proposed as a new velocity estimator.

This paper presents a novel method for estimating the velocity of a mobile station (MS) in a typical macro-cell. The proposed estimator uses the auto-correlation function of the instantaneous frequency (IF) of the received signal at the MS antenna. The performance of the proposed estimator in the presence of shadowing, additive noise, and non-isotropic scattering is studied analytically. It is proved that, unlike existing velocity estimators, the IF-based estimator is robust to shadowing.

IEEE Transactions on Vehicular Technology, 2004

This paper presents a new mobile station velocity estimator based on the first moment of the instantaneous frequency (IF) of the received signal. The effects of shadowing, additive noise, and scattering distribution on the proposed velocity estimator are analyzed. We show that, unlike velocity estimators based on the envelope and quadrature components of the received signal, the proposed estimator is robust to shadowing. We also prove that the performance of the IF-based estimator is only mildly affected by the presence of additive noise. Finally, by using simulations we show that the performance of the proposed IF-based estimator is superior to that of existing velocity estimators.

2003

Abstract This paper presents a new estimator for the velocity of a mobile station in microcellular systems. The proposed estimator is based on the zero-crossing rate of the instantaneous frequency of the received signal. The effects of additive noise, scattering distribution, and shadowing on the proposed velocity estimator are analyzed. The IF-based velocity estimator outperforms the conventional estimators in the presence of shadowing.

2003

Abstract In this paper, a new estimator for the velocity of a mobile station in a micro-cellular system is proposed. The proposed estimator is based on the instantaneous frequency of the received signal at the mobile station antenna. The performance of the proposed estimator in the presence of shadowing, additive noise and nonisotropic scattering is analyzed, and compared with that of the conventional zero crossing rate based velocity estimator.

IEEE Transactions on Communications, 2000

Estimation of the mobile speed, or equivalently, the maximum Doppler frequency, is of importance in a variety of applications in wireless mobile communications. In this paper, a unified framework for the performance analysis of several major speed estimation techniques is presented, which allows a fair comparison between all the methods, analytically. Interestingly, it is proved that all these methods are equivalent, asymptotically, i.e., for large observation intervals. In addition, we have derived closed-from expressions for the bias and variance of a recently proposed covariance-based method. We have also introduced a new estimator which relies on the average number of maxima of the inphase component, and have calculated its variance, analytically. Our extensive performance analysis, supported by Monte Carlo simulations, have revealed that depending on the channel condition and the observation interval, one needs to use a crossing-or a covariance-based technique, to achieve the desired estimation accuracy over a large range of mobile speeds.

2005

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IAEME PUBLICATION, 2020

This paper investigates on the mobile speed estimation of broadband wireless communications with severe inter symbol interference duet to large number of fading channel taps. This research is based on the received signals which consists of unknown transmitted data, selective fading channel, unknown frequency coefficients including line-of-sight (LOS) components, and random receiver noise. Inorder to estimate the speed of mobiles with the received signal power Modified normalized auto-covariance method is used. The developed algorithm shows a better results for Rician , Rayleigh and Nakagami channels. The algorithm provides accurate speed estimation even if the signal-to-noise ratio (SNR) is low. Simulation results shows that the new algorithm is suitable for estimating mobile speed relative to a maximum Doppler of 500 Hz.

Wireless Personal Communications, 2020

Future high densification wireless networks come with high handoff rates, which require knowledge of mobile speed. Mobile speed estimation is crucial for optimizing handover to reduce call drops and network signaling flow, optimize traffic scheduling, improve quality of service, achieve resource optimization, mobility load balancing, channel quality feedback enhancement, and energy efficiency. In this paper, we present a low complexity mobile speed estimation model using count of peaks and troughs of the received signal envelop. We simulated the model in Matlab ® and our result shows that the model has a maximum error of 0.25 m/s. The model has two advantages. First, it does not require measurement of the received signal power; it only counts envelop peaks and troughs. Second, the model is independent of DC offset inherent in the radio receivers. However, the model has one limitation-it does not give the crossing component of a mobile's velocity.

This paper proposes a new approach to estimate the path gains and Doppler frequencies of mobile fading channels. The method is based on fitting the temporal autocorrelation function (ACF) of a channel model to that of a measured mobile fading channel. The fitting is reached by applying the Lp-norm method (LPNM), which minimizes the Lp-norm of a nonlinear multidimensional error function. Simulation results show that the quality of the approximation of the ACF achieved by applying the proposed approach is better than that attained by using the well-known subspace-alternating generalized expectationmaximization (SAGE) algorithm. The channel model obtained by this approach can directly be used as a measurement-based channel simulator having approximately the same ACF as the measured channel. This enables laboratory testing, optimization, and performance evaluation of mobile communication systems under real-world radio wave propagation conditions.