Title :
Channel estimation for block transmission systems with narrowband interference suppression
Author :
Amleh, Khaled ; Li, Hongbin
Abstract :
We present here a unified approach to blind channel estimation and interference suppression for block transmission using zero padding (ZP) or cyclic prefix (CP) in both single-carrier (SC) and multicarrier (MC) systems. Our approach uses a generalized multichannel minimum variance principle to design an equalizing filterbank. Channel estimate is then obtained from an asymptotically tight lower bound of the filterbank output power. Numerical examples show that the proposed schemes approach the CRB as the signal-to-noise ratio (SNR) increases. Additionally, they exhibit low sensitivity to unknown narrow-band interference and compare favorably with subspace blind channel estimators.
Keywords :
blind source separation; channel estimation; interference suppression; blind channel estimation; block transmission system; cyclic prefix; equalizing filterbank; multichannel minimum variance principle; narrowband interference suppression; signal to noise ratio; subspace blind channel estimator; zero padding; Blind equalizers; Channel estimation; Filter bank; Filtering theory; Finite impulse response filter; Interference suppression; Narrowband; OFDM; Power generation; Signal to noise ratio;
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
DOI :
10.1109/ISSPA.2007.4555616