Estimation of UFMC Fading Channels Using Hinf Filter

dc.contributor.authorJamoos, Ali
dc.date.accessioned2020-10-26T10:53:00Z
dc.date.available2020-10-26T10:53:00Z
dc.date.issued2020-06-30
dc.description.abstractUniversal 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 machine-to-machine (M2M), device-to-device (D2D), and vehicle-to-vehicle (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 f lters 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 Hinf fi lter. 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 Hinf filter-based channel estimator is more effective when compared with existing estimators.en_US
dc.identifier.urihttps://dspace.alquds.edu/handle/20.500.12213/6236
dc.language.isoen_USen_US
dc.publisherJournal of Telecommunications and Information Technologyen_US
dc.subject5Gen_US
dc.subjectautoregressive modelen_US
dc.subjectchannel estimationen_US
dc.subjectfading channelen_US
dc.subjectHinf filteren_US
dc.subjectUFMCen_US
dc.titleEstimation of UFMC Fading Channels Using Hinf Filteren_US
dc.typeArticleen_US
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