DocumentCode :
2544445
Title :
An improved iterative channel estimation based LTE Downlink
Author :
Peng, Ting ; Lou, Xizhong ; Xu, Jia ; Zhou, Qian ; Li, Xiaochen ; Chen, Yanmin
Author_Institution :
Dept. of Inf. Eng., China Jiliang Univ., Hangzhou, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1721
Lastpage :
1724
Abstract :
In this paper, we propose an iterative detecting and decoding method in LTE Downlink OFDM system based on reference aided channel estimation. Estimates of the complex channel gain and variance of the additive noise are derived first from known reference symbols and channel estimate filter. After turbo decoding, the decoded bits have been obtained. In order to obtain estimates of channel gain more accuracy, we adopted more reference symbols which modulate the decoded bits at the receiver again to estimate the channel frequency response. Also the mapping position of the OFDM symbols is consistent with first transmission. Through estimation of the channel iteratively, we can use more systems bits as iterative reference symbols. Simulation results shows that through the iterative channel estimation, the initial insert reference symbols have been reduced, the accuracy of channel estimation improved effectively and the bits error rate of the OFDM system can approach the perfect channel estimates.
Keywords :
Long Term Evolution; OFDM modulation; channel estimation; frequency response; iterative methods; turbo codes; LTE downlink OFDM system; additive noise; channel estimate filter; channel frequency response; improved iterative channel estimation; iterative reference symbols; reference aided channel estimation; turbo decoding; Accuracy; Channel estimation; Decoding; Downlink; Estimation; Iterative decoding; OFDM; LS; channle estimation; iterative; turbo;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
Type :
conf
DOI :
10.1109/FSKD.2012.6233908
Filename :
6233908
Link To Document :
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