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The Key Technology of Wideband Compressed Spectrum Sensing in Cognitive Radio Network

Author: ShaoChangYou
Tutor: HuHaiFeng
School: Nanjing University of Posts and Telecommunications
Course: Communication and Information System
Keywords: Cognitive radio Spectrum sensing Data Fusion Compressed sensing Broadband spectrum detection
CLC: TN925
Type: Master's thesis
Year: 2012
Downloads: 121
Quote: 0
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Cognitive radio is a key technology in the development of next-generation wireless network, it is a solution to the spectrum scarcity, the spectrum dynamic management and effective way to improve the spectrum utilization. Cognitive radio technology has the perception of the surrounding environment and the ability to automatically learn to adaptive spectrum access, and ultimately achieve spectrum sharing and spectrum management. Become a research hotspot in recent years because of its basic role as one of the key technologies of the spectrum of cognitive radio sensing technology. Traditional narrowband spectrum sensing technology can only detect a channel, if it is used on the wide frequency band divided into a plurality of sub-band detection is obviously too low detection efficiency; in order to improve the detection efficiency, the broadband spectrum sensing technologies have emerged. For a long time, Nyquist sampling theorem has been dominated by narrow-band spectrum sensing signal sampling and encoding process, but in the process of perception of wideband signals, the digital signal processor is bound to make use of the Nyquist sampling theorem facing a severe test; compression perception theory breakthrough the Nyquist sampling theorem restrictions proposed an entirely new method of signal acquisition, broadband spectrum sensing technology to achieve to bring the gospel; then, distributed compressed sensing theory proposed to further expand the application of compressed sensing theory, it will be single signal compression sampling extended to the compression of the signal group sampling. In this paper, the broadband spectrum sensing technology has been studied, and compressed sensing applications where a multi-user cooperation broadband compressed spectrum sensing model. Specific work are as follows: First, an overview of the research background and development status of the technology spectrum sensing cognitive radio technology, a brief introduction to several common single-user spectrum sensing algorithm, by the single-user spectrum sensing technology limitations expand the cooperation Spectrum sensing technology introduction, a comprehensive comparison and simulation analysis focusing on the fusion of cooperative spectrum sensing scheme. Secondly, the introduction of the theory of compressed sensing, mainly from the sparse representation of the signal the coded measurement and signal reconstructed three introduced. Based on algorithms achieve different ideas, existing compressed sensing reconstruction algorithm of classification and comparison, and focuses on a series of algorithms matching pursuit. Finally, the compressed sensing theory applied to cognitive radio networks, and broadband compressed spectrum sensing key technologies, cognitive radio networks based on distributed cooperative spectrum sensing based on compressed sensing based on broadband spectrum sensing and cooperative spectrum sensing Thought The compressed sensing cooperative spectrum sensing two models, and with respect to their algorithm design and performance simulation.

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