CDMA interference cancellation techniques using neural networks in Rayleigh channels
B. Geevarghese, J. Thomas, G. Ninan, Anish Francis · 2013
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.