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
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;
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
DOI :
10.1109/ICWAPR.2007.4420659