DocumentCode
1938985
Title
Redundant Precoding Assisted Blind Channel Estimation for OFDM Systems
Author
Liang, Yun ; Luo, Haipeng ; Huang, Jie
Author_Institution
Dept. of Electron. Eng., Shanghai Jiao Tong Univ.
Volume
3
fYear
2006
fDate
16-20 2006
Abstract
Because channel estimation can play a crucial role on coherent detection of the information symbols in each data block, this paper proposes a redundant precoding assisted blind channel estimation approach for orthogonal frequency-division multiplexing (OFDM) systems. A redundant linear frequency-domain precoder is applied on each pair of blocks before they enter the OFDM system. Due to the introduced structure, the frequency-selective channel can be identified at the receiver based on auto-correlation operations, singular value decomposition (SVD) and resolving the scalar ambiguity. The proposed channel estimation method has low computational complexity and requires no prior statistical information of channel or noise. And the proposed blind method has high spectral efficiency owing to exploiting no training sequence. Computer simulations confirm that this proposed blind channel estimation method can identify the frequency-selective channels perfectly and have a good performance
Keywords
OFDM modulation; channel estimation; computational complexity; precoding; singular value decomposition; OFDM systems; SVD; autocorrelation operations; blind channel estimation; coherent detection; computational complexity; frequency-selective channel; information symbols; orthogonal frequency-division multiplexing systems; redundant linear frequency-domain precoder; redundant precoding; singular value decomposition; Autocorrelation; Blind equalizers; Channel estimation; Computational complexity; Digital video broadcasting; Frequency division multiplexing; Frequency estimation; Intersymbol interference; OFDM; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345802
Filename
4129246
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