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Researches of Spectrum Sensing Technology in Cognitive Radio

Author: ZhangYu
Tutor: GeLiJia
School: Chongqing University
Course: Communication and Information System
Keywords: Cognitive radio Spectrum sensing Weighted collaboration Evidence Theory
CLC: TN925
Type: Master's thesis
Year: 2010
Downloads: 195
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Abstract


With the rapid development of wireless communication, wireless service focus has begun to multimedia communication, etc. need a wide spectrum of business transfer and higher download rate plaque lack of spectrum resources, however, has become increasingly serious. Cognitive radio is an intelligent wireless communication technology automatically adjusts its transmitter parameters can be aware of their surroundings, the core idea is the use of allocated but get full use of the spectrum, so as to improve the spectrum utilization. To avoid the interference caused by the primary user is most needed to solve the problem of cognitive radio, spectrum sensing is the prerequisite to achieve this goal. This paper first reviews the basic principles of cognitive radio, related to the definition of the conceptual model, main functions and key technologies. Then introduced the existing spectrum sensing cognitive radio technology. A comprehensive summary of various sensing technology principles, characteristics, comparing the advantages and disadvantages of each spectrum detection process. Detailed analysis of the three types of spectrum detection method: matching filter, energy detection method and static cycle characteristics detection method, using MATLAB specific modeling and simulation of various detection schemes; energy detection algorithm in white Gaussian noise channel and Rayleigh fading channel spectrum sensing performance. Single node detection in the presence of \the environment, does not meet the actual cognitive radio communication environment. Next, the analysis of the characteristics of the current weighted cooperative detection method: consider the various perceived nodes due to node detects environment differences lead to different reliability issues, not set to weight, but the weight factor successive iterations. The weight factor complex problem, and propose an improved weighted cooperative detection algorithm: trust functions in the theory of evidence as the weighting factor, the weighted collaboration algorithm and energy detection, for example, the expression is derived style, through the simulation prove: improved collaboration detection algorithm, the performance is better than existing methods, and its computational complexity now. Finally, the work of the full text of the Summary and Outlook.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Radio relay communications,microwave communications
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