DocumentCode
3450528
Title
A diverse proof of OFDM channel estimation comparing CP-sequences and training-sequences methods under LS frame
Author
Wangxing Zhao ; Fang Fang
Author_Institution
Dept. of EE, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
2
fYear
2011
fDate
20-22 Aug. 2011
Firstpage
380
Lastpage
384
Abstract
This article presents a diverse and primary proof of one indifferent but subtle conclusion of OFDM channel estimation problem, that is, in frequency domain performance of CP-based channel estimation method can hardly surpass the conventional ones such as training-sequence-based methods. We get the conclusion and first give detailed proof that under LS principle when directly transform cyclic prefix (CP) into frequency domain as CP-sequences, we can always find those training-sequences which have better performance than the CP-sequences method. Specifically, we first calculate MSE of Least-Square (LS) principle. Then, according to MSE calculated we give our central proof using DFT analysis and multitudes of inequality relations. At last, we also give simulation that ensures the correctness of our proofs and give new suggestions of this topic concerned.
Keywords
OFDM modulation; channel estimation; discrete Fourier transforms; least squares approximations; mean square error methods; sequences; CP-sequences; OFDM channel estimation; discrete Fourier transforms; least square frame; mean square error methods; training-sequences; transform cyclic prefix; Channel estimation; Channel models; Discrete Fourier transforms; Estimation; Frequency domain analysis; OFDM; Training; CP-sequences; DFT analysis; Least-Square (LS); cyclic prefix (CP); mean square error (MSE); orthogonal frequency division multiplexing (OFDM); training-sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location
Chongqing
Print_ISBN
978-1-4244-8622-9
Type
conf
DOI
10.1109/ITAIC.2011.6030354
Filename
6030354
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