Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/34064
Title: Adaptive averaging channel estimation for DVB-T2 using Doppler Shift information
Authors: Zettas, Spiridon
Lazaridis, Pavlos I
Zaharis, Zaharias D
Kasampalis, Stylianos
Cosmas, John
Keywords: average;channel estimation;channel modeling and simulation;Doppler estimation;Doppler shift;DVB-T2;Rayleigh;next generation Broadcasting system;OFDM;pilots
Issue Date: 25-Jun-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Zettas, S. et al. (2014) 'Adaptive averaging channel estimation for DVB-T2 using Doppler Shift information', 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Beijing, China, 25–27 June. pp. 1–6. doi: 10.1109/bmsb.2014.6873519.
Abstract: The problem of channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems in fast time-varying and frequency selective radio channels has attracted the attention of scientists and receiver manufacturers. The wireless communication suffers from Additive White Gaussian Noise (AWGN), fading due to the multipath nature of the channel and spectral dispersion caused by the relative movement of the receiver with respect to the transmitter. In this paper a novel channel estimator for the Next Generation Terrestrial Digital Video Broadcasting (DVB-T2) is proposed. It is based on the estimation of the Doppler Shift (DS) from the variations of the envelope of the edge pilots (EP), in order to estimate the time interval where the channel could be considered as flat and then adaptively adjusting a buffer where the scattered pilots (ScP) carried within the received OFDM symbols during this time interval, are stored and averaged. Because the noise is considered AWGN with zero mean, the averaging process discards the noise and by interpolating the pilots an estimation of the channel is obtained. © 2014 IEEE.
URI: https://bura.brunel.ac.uk/handle/2438/34064
DOI: https://doi.org/10.1109/bmsb.2014.6873519
ISBN: 9781479916542
ISSN: 2155-5044
Appears in Collections:Department of Electronic and Electrical Engineering Research Papers

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