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

fYear

2013

fDate

21-22 Feb. 2013

Firstpage

856

Lastpage

860

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Communication and Embedded Systems (ICICES), 2013 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-5786-9

Type

conf

DOI

10.1109/ICICES.2013.6508216

Filename

6508216