Enhanced spectrum sensing using a combination of energy detector,matched filter and cyclic prefix
作者机构:King Abdulaziz UniversitySaudi Arabia COSIM LabSUPCOMTunisia
出 版 物:《Digital Communications and Networks》 (数字通信与网络(英文版))
年 卷 期:2020年第6卷第4期
页 面:534-541页
核心收录:
学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0839[工学-网络空间安全] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Cooperative spectrum sensing Energy detector Matched filter Cyclic prefix CFAR CDR Cognitive radio networks False alarm probability Detection probability
摘 要:In this paper,we propose a sensing scheme based on energy detection,matched filter and cyclic prefix.Both Equal Gain Combining(EGC)and optimal combination of the aforementioned detectors are investigated in cooperative and non-cooperative spectrum sensing scenarios.In packet transmission systems such as OFDM(Orthogonal Frequency Division Multiple access)systems,the proposed scheme takes advantage of utilizing more samples than individual detectors,i.e.,cyclic prefix,training or pilot samples,and data payload samples.The proposed combine-sensing scheme offers higher detection probability and lower false alarm probability,as compared with the performance of individual detectors over the same frame duration.Simulation results are congruent with the theoretical curves and confirm the validity of our derivations.