- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Detection of Code – Division Multiple Access Signals based on Neural Network | ||
| IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
| Article 1, Volume 5, Issue 1, 2005, Pages 88-93 | ||
| Authors | ||
| ad AL-Shaban; Dr. Sa | ||
| Abstract | ||
| Abstract: Artificial Neural Networks are employed for demodulation of spread spectrum signals in a multiple – access environment. In fact, the conventional matched filter receiver, when used in multi-user system, suffers from the interfering signals, so that when reducing this problem, we need to make the receiver in optimum state. This receiver is too complex for practical use. Two simple structures employing multilayer nodes are produced for demodulation of spread-spectrum signals. The Neural Networks are trained for the demodulation of signals by using back propagation type algorithms. A comparative analysis of the two receivers, the conventional and that employing Neural Network, has been presented. | ||
| Full Text | ||
|
| ||
|
Statistics Article View: 400 PDF Download: 126 |
||
