Title :
CDMA interference cancellation techniques using neural networks in Rayleigh channels
Author :
Geevarghese, B. ; Thomas, Julian ; Ninan, G. ; Francis, Ashish
Author_Institution :
Ambedkar Univ., Muzaffarpur, India
Abstract :
Neural network based Interference cancellers occupy a prominent place in the class of multi user detectors for CDMA.The present work focuses on the effect of pre-processing of the data fed to the neural networks in those receivers. The effect on bit error rate due to pre-processing is presented, with respect to a variation of signal to noise ratios and the number of parallel interference canceller stages. The work considered, Rayleigh multipath fading channel as the medium and DPSK as baseband modulation.
Keywords :
Rayleigh channels; code division multiple access; differential phase shift keying; interference suppression; neural nets; radio receivers; telecommunication computing; CDMA interference cancellation techniques; DPSK; Rayleigh multipath fading channel; baseband modulation; interference cancellers; multiuser detectors; neural networks; parallel interference canceller stages; receivers; signal to noise ratios; Biological neural networks; Bit error rate; Interference; Matched filters; Multiaccess communication; Receivers; Bit Error Rate; Code Division Multiple Access; Levenberg-Marquardt algorithm; Neural network; Pre-processing;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
DOI :
10.1109/ICICES.2013.6508216
