A real valued neural network based autoregressive energy detector for cognitive radio application

• Main Authors: Onumanyi, A. J., Onwuka, E. N., Aibinu, A. M., Ugweje, O. C., Salami, Momoh Jimoh Emiyoka
• Format: Article
• Language: English
• Published: Hindawi 2014
• Subjects: TK5101 Telecommunication. Including telegraphy, radio, radar, television
• Online Access: http://irep.iium.edu.my/30199/1/AdeizaPaper.pdf; http://irep.iium.edu.my/30199/; http://www.hindawi.com/
• Institution: Universiti Islam Antarabangsa Malaysia

A real valued neural network (RVNN) based energy detector (ED) is proposed and analyzed for cognitive radio (CR) application. This was developed using a known two-layered RVNN model to estimate the model coefficients of an autoregressive (AR) system. By using appropriate modules and a well-designe...