DocumentCode
468917
Title
Semi-blind channel estimation algorithm based on wavelet de-noising in ofdm system
Author
Lan, Hai-yan ; Yang, Shen-Yuan ; Tan, Feng
Author_Institution
Harbin Eng. Univ., Harbin
Volume
1
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
179
Lastpage
182
Abstract
This paper presented a semi-blind channel estimation algorithm based on wavelet de-noising in OFDM system. This method adopted wavelet transform in de-noising of auto-correlation matrix estimated value of receiving signal in semi-blind algorithm, so as to eliminate or decrease the influence of channel estimation error caused by noise, and increase channel estimation accuracy. Simulation proved the validity of this method.
Keywords
OFDM modulation; channel estimation; correlation methods; matrix algebra; signal denoising; wavelet transforms; OFDM system; auto-correlation matrix; semiblind channel estimation algorithm; wavelet de-noising; wavelet transform; Channel estimation; Finite impulse response filter; Frequency modulation; Interference; Noise reduction; Notice of Violation; OFDM; Pattern analysis; Pattern recognition; Wavelet analysis; OFDM; channel estimation; de-noise; semi-blind; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1065-1
Electronic_ISBN
978-1-4244-1066-8
Type
conf
DOI
10.1109/ICWAPR.2007.4420659
Filename
4420659
Link To Document