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Enhanced spectrum sensing using a combination of Energy detector,matched filter and cyclic prefix

Digital Communications and Networks 2020年第4期6卷 534-541页

作者： Ghassan Alnwaimi Hatem Boujemaa King Abdulaziz University Saudi Arabia COSIM Lab SUPCOMTunisia

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.

关键词： Cooperative spectrum sensing Energy detector Matched filter Cyclic prefix CFAR CDR Cognitive radio networks False alarm probability Detection probability

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Optimization of threshold for local spectrum sensing with Energy detector

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Journal of Shanghai University(English Edition) 2011年第2期15卷 132-136页

作者：翟旭平贺海根郑国莘 Key Laboratory of Specialty Fiber Optics and Optical Access Networks School of Communication and Information Engineering Shanghai University

Spectrum sensing is the first step of cognitive radio （CR）. In this area, previous researches mostly consider distributed local nodes which are under identical channel conditions, hence uniform and fixed detection threshold is set with Energy detector. However, the distributions of nodes in real environments are not quite the same. In this paper, the optimal threshold to minimize the total detection error over add＇itive white Gaussion noise （AWGN） channel is derived firstly. Then the dynamic threshold scheme is proposed to reduce the average total detection error. Simulations have shown that, with this scheme, sensing performance is improved.

关键词： spectrum sensing Energy detector optimal threshold dynamic threshold scheme

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Spectrum sensing based on angular reciprocity in cognitive satellite communication system

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Science China(Information Sciences) 2021年第8期64卷 117-126页

作者： Jiancun FAN Yong BAN Jie LUO Ying ZHANG Xinmin LUO School of Information and Communications Engineering Xi'an Jiaotong University Science and Technology on Communication Networks Laboratory

Satellite communication is attracting increasing attention owing to its freedom from geographical constraints. However, its spectrum resources are limited, and it is susceptible to interferences. Therefore,cognitive radio technology can be used to detect and prevent interferences as well as improve spectrum utilization.To improve the spectrum sensing performance, an angle reciprocity-based spectrum sensing(ARSS)scheme is proposed in this study. The scheme exploits the reciprocity between the known beam’s central angle and the unknown signal’s arrival angle, with the reciprocity controlled by the narrow characteristic of the satellite’s beam owing to long-distance propagation. In this scheme, we use the beam’s central angle instead of the signal’s actual angle to process the received signal, and then the processed data are used as the sensing statistics for spectrum sensing. The simulation results show that the proposed ARSS scheme exhibits better satellite spectral sensing performance compared with the Energy detector(ED).

关键词： satellite communications spectrum sensing angle reciprocity Energy detector

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Combined energy detection and one-order cyclostationary feature detection techniques in cognitive radio systems

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The Journal of China Universities of Posts and Telecommunications 2010年第4期17卷 18-25页

作者： YUE Wen-jing ZHENG Bao-yu MENG Qing-min YUE Wen-jie Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing 210003 China Department of Electronic Engineering Shanghai Jiaotong University Shanghai 200240 China Shanxi Institute of Educational Science Taiyuan 030009 China

One of the main requirements of cognitive radio systems is the ability to detect the presence of the primary user with fast speed and precise accuracy. To achieve that, a possible two-stage spectrum sensing scheme is suggested in this paper. More specifically, a fast spectrum sensing algorithm based on the energy detection is introduced focusing on the coarse detection. A complementary fine spectrum sensing algorithm adopts one-order cyclostationary properties of primary user＇s signals in time domain. Since the one-order feature detection is performed in time domain, the real-time operation and low-computational complexity can be achieved. Also, it drastically reduces hardware burdens and power consumption as opposed to two-order feature detection. The sensing performance of the proposed method is studied and the analytical performance results are given. The results indicate that better performance can be achieved in proposed two-stage sensing detection compared to the conventional Energy detector.

关键词： cognitive radio （CR） spectrum sensing Energy detector cyclostationary feature detector

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