DocumentCode :
1774864
Title :
Time varying channel estimation for SC-FDMA system under HST scenario
Author :
Lihua Yang ; Yan Liang
Author_Institution :
Jiangsu Key Lab. of Wireless Commun., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2014
fDate :
23-25 Oct. 2014
Firstpage :
1
Lastpage :
6
Abstract :
We propose a time variation channel estimation method for the Time Division Duplex-Long Term Evolution (TDD-LTE) uplink in the high speed train (HST) environment. In the transform domain, based on the estimated channel parameters of the two block pilots, the generalized complex exponential basis expansion model (GCE-BEM) is firstly employed to estimate the channel parameters of the data symbols between the two pilots. To avoid the expansion error at the subframe boundary caused by the Gibbs effect of the GCE-BEM, the decision-directed (DD) method is used to obtain the channel parameters of the data symbols out of the two pilots. Simulation results show that the performance of the proposed method is much better than those of the available methods, and it has a low computational complexity.
Keywords :
computational complexity; parameter estimation; railway communication; telecommunication channels; time division multiplexing; GCE-BEM; HST scenario; SC-FDMA system; TDD-LTE uplink; channel parameter estimation; computational complexity; data symbols; decision-directed method; generalized complex exponential basis expansion model; high speed train environment; time division duplex-long term evolution; time variation channel estimation method; time varying channel estimation; transform domain; Channel estimation; Estimation; Frequency-domain analysis; Parameter estimation; Transforms; Uplink; Vehicles; TDD-LTE uplink; high speed train; time variation channel estimation; transform domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on
Conference_Location :
Hefei
Type :
conf
DOI :
10.1109/WCSP.2014.6992080
Filename :
6992080
Link To Document :
بازگشت