CDMA interference cancellation techniques using neural networks in Rayleigh channels

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, wit...

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Bibliographic Details
Main Authors: Geevarghese, B., Thomas, J., Ninan, G., Francis, A.
Format: Conference Proceeding
Language:English
Subjects:
Biological neural networks
Bit error rate
Code Division Multiple Access
Interference
Levenberg-Marquardt algorithm
Matched filters
Multiaccess communication
Neural network
Pre-processing
Receivers
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Summary: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.
DOI:10.1109/ICICES.2013.6508216