DocumentCode :
2428736
Title :
Research and implementation of channel estimation of digital radio receiver based on OFDM
Author :
Ma, Yong-tao ; Liu, Kai-hua ; Duan, Jian-feng ; Song, Yu-na
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin
fYear :
2008
fDate :
7-11 June 2008
Firstpage :
104
Lastpage :
108
Abstract :
OFDM system can improve frequency band utility, decrease symbols interference caused by multi-path effect. It also can obtain reliable data transmission with high speed. The paper studies the channel estimation technique in a digital radio broadcast receiver based on OFDM-DRM. Due to the time and frequency selective variance of the channel encountered during OFDM transmission, the channel response has to be estimated in order to get exact data. This is done by using the known scattered pilots transmitted in OFDM symbols. OFDM based digital radio system adopts linear interpolation, windowed FFT interpolation and Wiener interpolation, in which Wiener interpolation is the best but requires a large quantity of computational consumption. The paper analyzes the Wiener algorithm..and simulates the MSE versus SNR for different Wiener filtering methods, and presents the flow charts of Wiener algorithm and realizes them in the computer.
Keywords :
OFDM modulation; Wiener filters; channel estimation; fast Fourier transforms; interpolation; mean square error methods; radio receivers; DRM; MSE; OFDM; Wiener filtering; Wiener interpolation; channel estimation; digital radio broadcast receiver; frequency selective variance; linear interpolation; time selective variance; windowed FFT interpolation; Channel estimation; Data communication; Digital communication; Filtering algorithms; Frequency estimation; Interference; Interpolation; OFDM; Radio broadcasting; Receivers; Channel Estimation; Digital Radio Receiver; Wiener Interpolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
Type :
conf
DOI :
10.1109/ICNNSP.2008.4590319
Filename :
4590319
Link To Document :
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