DocumentCode :
684420
Title :
An improved DFT-based channel estimation method for OFDM system
Author :
Xingxing Li ; Xiaojun Jing ; Songlin Sun ; Hai Huang ; Yueming Lu
Author_Institution :
Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China
fYear :
2013
fDate :
23-23 Nov. 2013
Firstpage :
550
Lastpage :
554
Abstract :
In the OFDM system, channel estimation is significant in that it affects the reliability of coherent detection at the receiver side. DFT-based channel estimation method is suitable for sparse channel estimation due to sparsity means low computational complexity. Combined with exponential smoothing, an improved DFT-Based channel estimation method is proposed in order to suppress noise. The noise suppression capacity of exponential smoothing is analyzed in theory. Simulation results indicate that the improved method is superior to DFT-based method at a cost of low additional computational complexity.
Keywords :
Channel Estimation; DFT-Based Method; Exponential Smoothing; OFDM;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Cyberspace Technology (CCT 2013), International Conference on
Conference_Location :
Beijing, China
Electronic_ISBN :
978-1-84919-801-1
Type :
conf
DOI :
10.1049/cp.2013.2101
Filename :
6748646
Link To Document :
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