Abstract
This research presents a new structure of neural network based direct sequence code division multiple access (DS-CDMA) receiver. In CDMA system, near-far problem is a major impediment for the performance of conventional detector. In this paper we propose a back-propagation neural network (BPNN) based method that has the capability to combat the near-far and multiple user interference (MUI) problems. A comparative study between the conventional match filter and the neural network receiver is carried out using numerical method simulation. It was found that the proposed neural network receiver outperform the conventional receiver
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
