Smart DS-CDMA Receiver Based on Feed Forward Neural Network

Direct Sequence Code Division Multiple Access (DS-CDMA) is a schemewhere several users transmit their data simultaneously over common wireless communication channel,by spreading each by distinct codes. At the receiver, individual are detected appropriate decoding. In this paper, new smart receiver proposed for detecting DS-CDMA signals based on multi-layer Feed Forward Neural Network (FFNN). The detects transmitted when received signal distorted due to channel noise, near-far effect and Rayleigh fading. state information indirectly captured during training of FFNN hence conventional estimation using pilot or sequences eliminated. Experimental results show that performance in terms detection accuracy superior similar competitive demodulators.