DocumentCode :
567349
Title :
Channel estimation using continuous particle swarm optimization
Author :
Ghauri, Sajjad Ahmed ; Perwez, Mohammad Raza ; Javaid, Muhammad Sajid ; Ahmad, Bilal
Author_Institution :
Nat. Univ. of Modern languages, Islamabad, Pakistan
fYear :
2012
fDate :
25-28 June 2012
Firstpage :
348
Lastpage :
351
Abstract :
In broad spectrum a channel refers as a transmission medium through which information is transmitted. In channel, when the signal is transmitted there is an accumulation of noise at the received signal. To eliminate this noise from the channel different estimation techniques are used such as training sequences-based estimation, blind channel estimation. These techniques have some drawbacks such as implementation, convergence and efficiency problems. To conquer the problems in existing channel estimation techniques, we use continuous particle swarm optimization soft version algorithm (CPSO) which is used to optimize the solution by improving the candidate solution with respect to some quality measure.
Keywords :
blind source separation; channel estimation; intersymbol interference; particle swarm optimisation; signal denoising; CPSO; blind channel estimation; continuous particle swarm optimization soft version algorithm; intersymbol interference; noise elimination; training sequences-based estimation; transmission medium; Optimization; Radio frequency; Training; Channel Estimation; Channelst; Swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Society (i-Society), 2012 International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4673-0838-0
Type :
conf
Filename :
6284990
Link To Document :
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