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基于多抽头频谱估计方法的频谱感知技术

Spectrum sensing technique based on multi-taper spectrum estimation method
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摘要 认知无线电系统中,认知用户必须具备动态可靠感知与检测频谱空穴的能力。采用多载波调制可以作为认知用户频谱感知的有效实现方式。不同于传统正交频分复用OFDM(orthogonal frequency divisionmultiplex)多载波调制,提出了认知节点基于多抽头频谱估计方法的频谱感知新技术,它基于滤波器组进行实现。采用扁长型滤波器多带调制设计的多抽头频谱估计器,具有较高的频谱动态范围,可以比周期图频谱估计器更有效地估计干扰温度功率谱。通过干扰温度功率谱仿真分析,多抽头频谱估计器作为认知用户前端频谱分析器,可以准确估计干扰温度功率谱,进而实现对主用户接收机的干扰抑制。 In cognitive radio (CR) system, secondary users (SU) must be able to sense and detect spectral holes dynamically and reliably. Multi-carrier modulation technique should be adopted as an effective realization method for SU spectrum sensing in CR. Different from conventional multi-carrier modulations such as orthogonal frequency division multiplex (OFDM), a novel spectrum sensing method based on multi-taper spectrum estimation for CR nodes was proposed and implemented by filter banks, multi-taper spectrum estimator (MTSE) designed by multi-band modulation of prolate filter has unique characteristics such as high spectral dynamic range (SDR), thus it can be more effective than periodogram spectrum estimator (PSE) in the aspect of estimating power spectrum density (PSD) of interference temperature. Simulation and analysis of PSD of interference temperature indicate that as the SU's former spectrum analyzer, the estimator can estimate PSD of interference temperature accurately, and realize interference restraint at primary user (PU)'s receiver.
出处 《解放军理工大学学报(自然科学版)》 EI 2008年第6期612-615,共4页 Journal of PLA University of Science and Technology(Natural Science Edition)
基金 江苏省自然科学基金资助项目(BK2007729) 江苏省高校自然科学重大基础研究项目资助课题(06KJA51001)
关键词 认知无线电 频谱感知 多抽头频谱估计方法 扁长型滤波器 干扰温度 CR (cognitive radios) spectrum sensing MTM (multi-taper spectrum estimation method) prolate filter interference temperature
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参考文献8

  • 1WEISS T A, JONDRAL F K. Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency[J].IEEE Communications Magazine, 2004, 42(3):8-14.
  • 2AMINI P, KEMPTER R, FARHANG-BOROUJENY B. A comparison of alternative filter bank multi-carrier methods in cognitive radios [C]. Orlando, FL: Software Defined Radio (SDR) Technical Conference. 2006.
  • 3AMINI P, KEMPTER R, CHEN R R, et al. Filter bank multi-tone: a physical layer candidate for cognitive radios[C]. Orange Country, CA:Software Defined Radio (SDR) Technical Conference. 2005.
  • 4HAYKIN S. Cognitive radio: brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 210-220.
  • 5FCC. Spectrum policy task force report[R]. Washington: ET Docket, 2002.
  • 6FARHANG-BOROUJENY B, KEMPTER R. Multicarrier communication techniques for spectrum sensing and communication in cognitive radios[J]. IEEE Communications Magazine, 2008, 46(4): 80-85.
  • 7FARHANG-BOROUJENY B. Filter bank spectrum sensing for cognitive radios[J]. IEEE Trans on Signal Processing, 2008, 56(5): 1801-1811.
  • 8OPPENHEIM A V, SCHAFER R W, BUCK J R. Discrete-time signal processing[M]. Second Edition. Beijing: Tsinghua University Press, 2005.

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