Application of Cyclic Spectrum Feature Detection to Cognitive UWB Wireless Communication

Xu  Xiao-Dan; Bi  Guang-Guo; Zhang  Zai-Chen

doi:10.3724/SP.J.1146.2007.00495

Volume 30 Issue 10

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(10): 2435-2438

Xu Xiao-Dan, Bi Guang-Guo, Zhang Zai-Chen. Application of Cyclic Spectrum Feature Detection to Cognitive UWB Wireless Communication[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2435-2438. doi: 10.3724/SP.J.1146.2007.00495

Citation:

Xu Xiao-Dan, Bi Guang-Guo, Zhang Zai-Chen. Application of Cyclic Spectrum Feature Detection to Cognitive UWB Wireless Communication[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2435-2438. doi: 10.3724/SP.J.1146.2007.00495

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Application of Cyclic Spectrum Feature Detection to Cognitive UWB Wireless Communication

doi: 10.3724/SP.J.1146.2007.00495 cstr: 32379.14.SP.J.1146.2007.00495

Received Date: 2007-04-02
Rev Recd Date: 2008-01-10
Publish Date: 2008-10-19

Abstract

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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References(1)

References

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