期刊文献+

一种基于循环相关的OFDM信号稳健检测法 被引量:4

Robust method of detecting OFDM signals based on cyclic autocorrelation
下载PDF
导出
摘要 为增强对OFDM信号的侦察能力,提出一种基于最大循环相关值的OFDM信号检测法,分析了OFDM信号的循环平稳性。分析结果表明,循环相关函数在循环频率轴上具有离散频率峰值,其峰值幅度是保护间隔与OFDM符号长度比的正弦函数。给出了基于循环相关检测的恒虚警接收机结构框图。计算机仿真结果表明,基于循环相关的检测法在理想噪声环境下比传统的能量检测法性能差5 dB,但在噪声不确定的条件下,其检测性能比能量检测法更加稳健。 To enhance the reconnaissance capability of OFDM signals,this paper proposed a novel method of detecting OFDM signals based on maximum cyclic autocorrelation,and analyzed the cyclostationary characteristic of OFDM signal.The analysis results show that the function of cyclic correlation took on discrete frequency peaks in cyclic frequency axis,and the amplitudes of the peaks were the sine function of guard interval and the OFDM symbol length ratio.It presented the structure diagram of the constant false alarm receiver based on maximum cyclic autocorrelation.The computer simulation results demonstrate that in the ideal noise condition the performance of the detection method based on maximum cyclic autocorrelation is 5dB inferior to that of the conventional energy detection method while it is much more robust when the noise is uncertain.
出处 《计算机应用研究》 CSCD 北大核心 2012年第2期714-716,738,共4页 Application Research of Computers
基金 解放军电子工程学院博士创新基金资助项目
关键词 正交频分复用 认知无线电 循环自相关函数 OFDM cognitive radio(CR) CAF
  • 相关文献

参考文献11

  • 1CABRIC D, BRODERSEN R W. Physical layer design issues unique to cognitive radio systems [ C ]//Proc of the 16th International Sympo- sium on Personal, Indoor and Mobile Radio Communications. 2005 : 759-763.
  • 2CABRIC D, MISHRA S, BRODERSEN R W. Implementation issues in spectrum sensing for cognitive radios [ C ]//Proc of Asilomar Conference on Signals, Systems and Computers. 2009:772-776.
  • 3MITOLA J. Cognitive radio : an integrated agent architecture for soft- ware defined radio [ D ]. Sweden:Royal Institute of Technology Stock- holm ,2000.
  • 4SOHN S H, HAN N, KIM J M. Pilot periodicity based OFDM signal detection method for cognitive radio system [ J ]. IEICE Trans on Communication ,2008, E91 -B(5 ) : 1644-1647.
  • 5GOH L P, LEI Z, CHIN F. DVB detector for cognitive radio [ C ]// Proc of IEEE International Conference on Communications. 2007: 6460 - 6465.
  • 6LUNDEN J,KOINUNEN V, HUTI'UNEN A. Spectrum sensing in cog- nitive radios based on multiple cyclic frequencies [ C ]//Proc of the 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications. 2009.
  • 7蒋清平,杨士中,张天骐.OFDM信号循环谱分析及参数估计[J].计算机应用研究,2010,27(3):1133-1135. 被引量:5
  • 8GOH L P. Detectors for cognitive radio [ D ]. Singapore: National University of Singapore, 2010.
  • 9IEEE 802.22 Working Group. IEEE 802.22/DRAFF vl. 0. draft stand- ard for wireless regional area network part22 : eongnitive wireless RAN medium aeeess control (MAC) and physic layer(PHY) speeifications: nolieies and nmeedures for operation in the TV bands [ S ]. 2006.
  • 10BENKO J, CHOENG Y, CORDEIRO C,et al. A PHY/MAC proposal for IEEE 802.22 WRAN system, part 1 :the PHY. IEEE 802.22-16/ 0004r2 [ S]. 2006.

二级参考文献11

  • 1黄知涛.循环平稳信号处理及其应用研究[M].长沙:国防科技大学出版社,2007.
  • 2SEIDEL S,BREINIG R. Autonomous dynamic spectrum access system behavior and performance [ C ]//Proc of the 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN. Baltimore, MD : [ s. n. ] ,2005 : 180-183.
  • 3CABRIC D, MISHRA S, BRODERSEN R. Implementation issues in spectrum sensing for cognitive radios[ C ]//Proc of the 38th Asilomar Conference on Signals, Systems and Computers. 2004:772-776.
  • 4MAHMOUD H, YUCEK T, ARSLAN H. OFDM for cognitive radio: merits and challenges [ J ]. I EEE Wireless Communications,2009, 16(2) :6-15.
  • 5GARDNER W A. Cyclostationarity in communications and signal processing [ M ]. New York : IEEE Press, 1994 : 329- 454.
  • 6BOLCSKEI H. Blind estimation of symbol timing and carrier frequency offset in wireless OFDM systems[J]. IEEE Trans on Communications,2001,49(6) :988-999.
  • 7GARDNER W A. Spectral correlation of modulation signals: Part Ⅰ- analog modulation [J]. IEEE Zrans on Communications, 1987,35 (6) :584-594.
  • 8GARDNER W A. Spectral correlation of modulation signals: Part Ⅱ- digital modulation [ J ]. IEEE Trans on Communications, 1987,35 (6) :595-601.
  • 9VUCIC D, OBRADOV IC M. Spectral correlation evaluation of MSK and offset QPSK modulation [ J ]. Signal Processing : Elsevier Science, 1999,78(3 ) :363-367.
  • 10GARDNER W A. Statistical spectral analysis : a nonprobabilistic theory[M]. Englewood Cliffs, NJ: Prentice-Hall, 1987:256-488.

共引文献4

同被引文献24

引证文献4

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部