Onumanyi, Adeiza JAbu-Mahfouz, Adnan MIHancke, GP2018-10-012018-10-012018-08Onumanyi, A.J., Abu-Mahfouz, A.M.I. and Hancke, G.P. 2018. A comparative analysis of local and global adaptive threshold estimation techniques for energy detection in cognitive radio. Physical Communication, vol. 29(8): 1-11https://www.sciencedirect.com/science/article/pii/S18744907183004051874-4907https://doi.org/10.1016/j.phycom.2018.04.008http://hdl.handle.net/10204/10432Copyright: 2018 Elsevier. Due to copyright restrictions, the attached pdf contains a preprint version of the published article. The published version can be obtained from the publisher's website, at https://www.sciencedirect.com/science/article/pii/S1874490718300405In this paper, we compare local and global adaptive threshold estimation techniques for energy detection in Cognitive Radio (CR). By this comparison we provide a sum-up synopsis on the effective performance range and the operating conditions under which both classes best apply in CR. Representative methods from both classes were implemented and trained using synthesized signals to fine tune each algorithm’s parameter values. Further tests were conducted using real-life signals acquired via a spectrum survey exercise and results were analysed using the probability of detection and the probability of false alarm computed for each algorithm. It is observed that while local based methods may be adept at maintaining a low constant probability of false alarm, they however suffer a grossly low probability of detection over a wide variety of CR spectra. Consequently, we concluded that global adaptive threshold estimation techniques are more suitable for signal detection in CR than their local adaptive thresholding counterparts.enCognitive radioComparative analysisEnergy detectorGlobalLocalThresholdArticleOnumanyi, A., Abu-Mahfouz, A. M., & Hancke, G. (2018). A comparative analysis of local and global adaptive threshold estimation techniques for energy detection in cognitive radio. http://hdl.handle.net/10204/10432Onumanyi, AJ, Adnan MI Abu-Mahfouz, and GP Hancke "A comparative analysis of local and global adaptive threshold estimation techniques for energy detection in cognitive radio." (2018) http://hdl.handle.net/10204/10432Onumanyi A, Abu-Mahfouz AM, Hancke G. A comparative analysis of local and global adaptive threshold estimation techniques for energy detection in cognitive radio. 2018; http://hdl.handle.net/10204/10432.TY - Article AU - Onumanyi, AJ AU - Abu-Mahfouz, Adnan MI AU - Hancke, GP AB - In this paper, we compare local and global adaptive threshold estimation techniques for energy detection in Cognitive Radio (CR). By this comparison we provide a sum-up synopsis on the effective performance range and the operating conditions under which both classes best apply in CR. Representative methods from both classes were implemented and trained using synthesized signals to fine tune each algorithm’s parameter values. Further tests were conducted using real-life signals acquired via a spectrum survey exercise and results were analysed using the probability of detection and the probability of false alarm computed for each algorithm. It is observed that while local based methods may be adept at maintaining a low constant probability of false alarm, they however suffer a grossly low probability of detection over a wide variety of CR spectra. Consequently, we concluded that global adaptive threshold estimation techniques are more suitable for signal detection in CR than their local adaptive thresholding counterparts. DA - 2018-08 DB - ResearchSpace DP - CSIR KW - Cognitive radio KW - Comparative analysis KW - Energy detector KW - Global KW - Local KW - Threshold LK - https://researchspace.csir.co.za PY - 2018 SM - 1874-4907 T1 - A comparative analysis of local and global adaptive threshold estimation techniques for energy detection in cognitive radio TI - A comparative analysis of local and global adaptive threshold estimation techniques for energy detection in cognitive radio UR - http://hdl.handle.net/10204/10432 ER -