DocumentCode :
1708439
Title :
Parametric channel estimation by exploiting hopping pilots in uplink OFDMA
Author :
Zhao, Xiaochuan ; Peng, Tao ; Wang, Wenbo
Author_Institution :
Wireless Signal Process. & Network Lab., Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2008
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, a parametric channel estimation algorithm applicable to uplinks of orthogonal frequency division multiple access (OFDMA) systems whose subcarriers are pseudo-randomly allocated is proposed. By exploiting pilot hopping, estimation of signal parameters via rotational invariance technique (ESPRIT) is employed to estimate the path delays of the sparse multipath fading channel. From the delay information, a channel interpolator utilizing global pilots, which can be irregular distributed, is derived to estimate the channel state information on the desired tones. Moreover, a simple method of estimating the time correlation of the channel taps is introduced and integrated in the proposed algorithm. Simulation results demonstrate that the proposed algorithm outperforms the local linear channel interpolator within a wide range of SNRpsilas and Dopplerpsilas.
Keywords :
OFDM modulation; channel estimation; fading channels; frequency division multiple access; multipath channels; Doppler shift; channel interpolator; channel state information; channel taps; global pilots; local linear channel interpolator; orthogonal frequency division multiple access systems; parametric channel estimation; pilot hopping; rotational invariance technique; sparse multipath fading channel; uplink OFDMA; Channel estimation; Delay estimation; Fading; Frequency conversion; Frequency estimation; Laboratories; MIMO; Parameter estimation; Signal processing algorithms; Tiles; ESPRIT; Parametric channel estimation; Pilot hopping; Uplink OFDMA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on
Conference_Location :
Cannes
Print_ISBN :
978-1-4244-2643-0
Electronic_ISBN :
978-1-4244-2644-7
Type :
conf
DOI :
10.1109/PIMRC.2008.4699519
Filename :
4699519
Link To Document :
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