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The Study of Cognitive Spectrum Technology in Cognitive Radio
Author: ZhuJingZuo
Tutor: KuoYongHong;YangMing
School: Xi'an University of Electronic Science and Technology
Course: Electronics and Communication Engineering
Keywords: Cognitive radio Energy detection Cyclostationary feature detection Evidence Theory
CLC: TN925
Type: Master's thesis
Year: 2011
Downloads: 73
Quote: 0
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Abstract
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Cognitive radio is an intelligent wireless communication technology can change its transmitter parameters interact with the operating environment , in particular, allows unauthorized users without interfering with the premise of authorized users to maximize the share of the allocated spectrum , which improve the utilization of radio spectrum . The primary task of the cognitive radio spectrum environment , it embodies the most significant cognitive characteristics . Introduction to basic theories of cognitive radio based on idle spectrum detection of several options through simulation comparison analysis and to study the spectrum of cognitive cooperative algorithm based on evidence theory . This paper first reviews the basic principles of cognitive radio , including its definition of the main functions and key technologies . Spectrum cognitive techniques , given the empty spectrum and interference temperature concept of how to find the appropriate idle spectrum and the spectrum of cognitive technology summarized as two major aspects of transmitter detection and cooperative detection . Second, cognitive techniques for cognitive radio transmitter detection , a detailed analysis of the the three spectrum detection method : matched filter method , energy detection and cyclostationary feature detection method and other existing detection the program was brief . Then using MATLAB AM signal detection scheme specific modeling and simulation , and confirmed by analysis of the energy detection method can effectively save time, static cycle characteristics detection rule can identify different classes of modulation in the case of low SNR The signal and noise . On the basis of analysis of the various methods , proposed spectrum cognitive improvement methods . Not consider the problem of a single node detects credibility in information fusion for existing cooperative spectrum cognitive algorithm , the paper focuses on cooperative spectrum cognitive algorithm based on evidence theory . In this paper, two spectrum cognitive algorithm simulation , probability of detection , false alarm probability aspects verify its detection performance compared with the original algorithm greatly improved . Finally elaborated cognitive radio applications , and work full text 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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