Improving Probability of Detection using CFAR and Adaptive Threshold for Cognitive Radio (CR)
Ahmed Abdulridha Thabit1, Hadi T. Ziboon2
1Ahmed Abdulridha Thabit, Asst. Lecturer, Department of Computers Communications Engineering, Al Rafidain University College, Baghdad, Iraq.
2Dr. Hadi T.Ziboon, Asst. Prof., Department of Electrical Engineering, University of Technology, Baghdad, Iraq.
Manuscript received on 15 June 2015 | Revised Manuscript received on 25 June 2015 | Manuscript Published on 30 June 2015 | PP: 1-4 | Volume-4 Issue-5, June 2015 | Retrieval Number: E3979064515/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The electromagnetic radio spectrum is a licensed resource is carefully managed by governments. User’s needs in wireless services, leads to the scarcity of available spectrum and inefficient channel utilization. The cognitive radio is the optimum solution for these requirements. The abilities to detect a primary user (PU) as well as to avoid any false alarm are of paramount importance for such a system. The Cognitive Radio has the ability to get the unlicensed user (secondary user (SU)) to use the spectrum for while according to the sensing time. In this paper increased the probability of detection (Pd) using the constant false alarm rate (CFAR) and soft decision (adaptive threshold) instead of hard decision was adapted to select the best threshold to improve the detection. The results show a good detection at variable low SNR values.
Keywords: Cognitive Radio, Cfar, Energy Detector.
Scope of the Article: Cognitive Radio Networks