Abstract
The polynomial perceptron multiuser demodulator (PPMUD) and the bilinear recursive polynomial perceptron multiuser demodulator with decision feedback (BRPMUD) are applied to a digital communication system using spread spectrum. The proposed multiuser demodulators are compared with the conventional receiver, the multilayer perceptron multiuser demodulator (MLPMUD) and the radial basis function multiuser demodulator (RBFMUD) in terms of bit-error rate (BER). In order to obtain a satisfactory BER, the structure of the PPMUD is much complex and needs long trainging periods. On the other hand, the BRPMUD shows good performance and has much simpler structure than the other multiuser demodulators using neural networks.
Original language | English |
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Pages | 746-754 |
Number of pages | 9 |
Publication status | Published - 2000 |
Event | 10th IEEE Workshop on Neural Network for Signal Processing (NNSP2000) - Sydney, Australia Duration: 2000 Dec 11 → 2000 Dec 13 |
Other
Other | 10th IEEE Workshop on Neural Network for Signal Processing (NNSP2000) |
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City | Sydney, Australia |
Period | 00/12/11 → 00/12/13 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Software
- Electrical and Electronic Engineering