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
Link To Document :
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