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Title: Estimation of UFMC Fading Channels Using H∞ Filter, Journal of Telekommunications and Information Technology, 2020, nr 2

Creator:

Jamoos, Ali

Date:

2020, nr 2

Resource Type:

artykuł

Description:

Universal filtered multi-carrier (UFMC) modulation is a very powerful candidate to be employed for future 5G mobile systems. It overcomes the limitations and restrictions in current modulation techniques employed in 4G mobile systems and supports future applications, such as machineto-machine (M2M), device-to-device (D2D), and vehicle-tovehicle (V2V) communications. In this paper, we address the estimation of UFMC fading channels based on the comb-type pilot arrangement in the frequency domain. The basic solution is to estimate the fading channel based on the mean square error (MSE) or least square (LS) criteria with adaptive implementation using least mean square (LMS) or recursive least square (RLS) algorithms. However, these adaptive filters seem not to be effective, as they cannot fully exploit fading channel statistics, particularly at high Doppler rates. To take advantage of these statistics, time-variations of the fading channel are modeled by an autoregressive process (AR), and are tracked by an H∞ filter. This, however, requires that AR model parameters be known, which are estimated by solving the Yule-Walker equation (YWE), based on the Bessel autocorrelation function (ACF) of the fading channel with a known Doppler rate. Results of Matlab simulations show that the proposed H∞ filter-based channel estimator is more effective when compared with existing estimators

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2134

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

channel estimation 5G fading channel LMS filter RLS filter Kalman filter autoregressive model UFMC H∞ filter

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Last modified:

Jul 20, 2020

In our library since:

Jul 20, 2020

Number of object content hits:

47

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2427

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Edition name Date
Jamoos Ali, Estimation of UFMC Fading Channels Using H∞ Filter, Journal of Telekommunications and Information Technology, 2020, nr 2 Jul 20, 2020

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