Title :
Mobile radio channels´ estimation for SC-FDMA systems by means of adequate noise and inter-carrier interference filtering in a transformed domain
Author :
Yameogo, Sosthène ; Palicot, Jacques ; Cariou, Laurent
Author_Institution :
Signal Commun. et Electron. Embarquee, SUPELEC, Cesson-Sevigne, France
Abstract :
This paper proposes a new channel estimation technique for mobile radio multipath channels in the context of SC-FDMA system. SC-FDMA is currently adopted for mobile radio uplink communications in 3G LTE because of its low PAPR. In this system, 1/7 SC-FDMA time symbols are dedicated to perform the channel estimation. This is sufficient when the channel can be considered as constant over the 7 symbol periods. But it is clear that transmission channel can change rapidly over time, typically when the user (UE) moves with an important enough velocity, thus introducing Doppler effect and therefore Inter-Carrier Interference (ICI). Our proposition deals with this situation, and consists in filtering the channel noise and ICI perturbation through a new transformed domain. This approach is based on the variation rate of the channel´s frequency response and the nature of the noise and ICI component in the Transformed domain. The performances obtained are very convincing since we have up to 3 dB gain compared to the simple interpolation solution encountered in the literature.
Keywords :
3G mobile communication; Doppler effect; Long Term Evolution; channel estimation; frequency division multiple access; intercarrier interference; multipath channels; 3G LTE; Doppler effect; PAPR; SC-FDMA systems; channel estimation; intercarrier interference filtering; mobile radio multipath channels; mobile radio uplink communications; noise filtering; transmission channel; 3GPP; Equalization; Estimation; Filtering; LTE; Linear Interpolation; OFDMA; PAPR; SC-FDMA; Zero-Forcing;
Conference_Titel :
GLOBECOM Workshops (GC Wkshps), 2010 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-8863-6
DOI :
10.1109/GLOCOMW.2010.5700148