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Application of Cyclic Spectrum Feature Detection to Cognitive UWB Wireless Communication |
Xu Xiao-dan Bi Guang-guo Zhang Zai-chen |
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China |
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Abstract Cognitive UWB technology combines UWB technology and Cognitive Radio (CR) technology. Spectrum detection is one of key modules for Cognitive UWB wireless communication system. Cyclostationary characteristic is ubiquitous in almost all the modulated signals. This paper investigates a new detection method that is Cyclic Spectrum Feature Detection (CSFD). Setting OFDM signal as example, it gives out the software simulation and performance analysis. This Detection method can distinguishes desired signal, noise and interference signal, so it is optical for Cognitive UWB wireless communication system.
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Received: 02 April 2007
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Corresponding Authors:
Xu Xiao-dan
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