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循环功率谱特征检测算法在认知超宽带无线通信的应用 被引量：3

Application of Cyclic Spectrum Feature Detection to Cognitive UWB Wireless Communication
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摘要 认知超宽带无线通信技术结合了超宽带无线通信技术和认知无线电技术,信号频谱检测是认知超宽带无线通信系统的核心模块之一。循环平稳特性普遍存在于各种调制信号中,该文研究了一种新的检测算法——循环功率谱特征检测算法,并以OFDM信号为例给出了软件仿真和性能分析。该检测算法能够区分有用信号,噪声信号和干扰信号,是最适合认知超宽带无线通信系统的。 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 signM 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.
作者 许晓丹 毕光国 张在琛
机构地区 东南大学移动通信国家重点实验室
出处 《电子与信息学报》 EI CSCD 北大核心 2008年第10期2435-2438,共4页 Journal of Electronics & Information Technology
基金 国家863计划项目(2007AA01Z2B1)资助课题
关键词 无线通信 认知超宽带 循环功率谱特征检测 循环功率谱估计 Wireless communication CUWB CSFD Cyclic spectrum estimation
分类号 TN92 [电子电信—通信与信息系统]
  • 相关文献

参考文献8

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共引文献10

同被引文献42

  • 1JIANG Guang-xing ZHU Hong-bo CAO Wei.A Novel Pulse Design Based on Hermite Functions for UWB Communications[J].The Journal of China Universities of Posts and Telecommunications,2006,13(1):49-52. 被引量：4
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引证文献3

二级引证文献2

电子与信息学报
2008年 第10期

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