期刊文献+

利用高阶累积量实现OFDM信号的调制识别 被引量:1

Modulation Classification of OFDM Signal Using Higher Order Cumulants
下载PDF
导出
摘要 针对OFDM系统中信号的调制方式,提出一种基于高阶累积量的算法。该算法可以有效地抑制高斯噪声,实现OFDM信号调制方式的识别。文章给出了理论分析和计算机仿真。结果说明算法的性能稳定,复杂度低,具有较高的识别率。 A higher order cumulants algorithm is introduced, which can suppress the Gaussian white noise efficiently. Theoretical analysis and computer simulation is given. It is shown by the results that the algorithm is stable with a low complexity and it has a high correct rate to classify the modulation of OFDM signal.
出处 《微电子学与计算机》 CSCD 北大核心 2006年第7期105-107,共3页 Microelectronics & Computer
关键词 高阶累积量 自适应调制 调制识别 Higher order cumulants, Adaptive OFDM, Modulation classification
  • 相关文献

参考文献8

  • 1T Yucek,H Arslan.A Novel Sub-optimum Maximumlikelihood Modulation Classification Algorithm for Adaptive OFDM Systems.Wireless Communications and Networking Conference.March 2004:739~44
  • 2S B Reddy T Yucek,H Arslan.An Efficient Blind Modulation Detection Algorithm for Adaptive OFDM Systems.in Proc.IEEE Veh.Technol.Conf.Orlando,Oct.2003
  • 3Le Martre,Boiteau D M.Modulation Classification by Means of different orders statistical moments.MILCOM'97.1997:1387~1391
  • 4Swam Ai,B M Sadler.Hierarchical Digital Modulation Classification Using Cumulants.IEEE Trans.on Comm.2000:416~429
  • 5T Keller,L Hanzo.Adaptive Modulation Techiniques for Duplex OFDM Transmission.IEEE Trans.Veh.Technol.Sept.2000:1893~1906
  • 6J M Torrance,L Hanzo.Upper Bound Performance of Adaptive Modulation in a Slow Rayleigh Fading channel Electronics Letters.11th April,1996,32(8)
  • 7赵燕,葛临东.多径瑞利衰落信道中的盲信噪比估计[J].微电子学与计算机,2005,22(8):158-160. 被引量:2
  • 8廖巨华,陈岚.基于改进FFT算法的OFDM调制/解调模块设计[J].微电子学与计算机,2005,22(6):57-60. 被引量:7

二级参考文献20

  • 1R M Gagliardi, C M Thomas. PCM Data Reliability Monitoring Through Estimation of Signal-to-Noise Ratio, IEEE rans. Commun. June1968, COM-16: 79-486.
  • 2C M Thomas. Maximum Likelihood Estimation of Signal-to-Noise Ratio. Ph.D. Dissertation, Los Angeles, Univ. of Southern California, 1967.
  • 3T R Benedict, T T Soong. The Joint Estimation of Signal and Noise From the Sumenvelope. IEEE Trans. Inform.Theory, July, 1967, IT-13: 447-454.
  • 4R Matzner, F Engleberger. An SNR Estimation Algorithm Using Fourth-Rrder Moments, in Proc. IEEE Int. Symp.Information Theory, Trondheim, Norway, June, 1994:119.
  • 5Beaulieu N C,Toras A S, Pauluzzi D R. Comparison of Four SNR Estimators for QPSK Modulations [J]. IEEE Commun Letters, 2002, 4(2): 43-45.
  • 6Wei Sheng, Steven D Blostein. SNR-Independent Velocity Estimation for Mobile Cellular Communication Systems.IEEE ICASSP 2002, May, 2002, 3: 2469-2472.
  • 7W C Jakes. Microwave Mobile Communica tions, John Wiley & Sons, Inc, 1974.
  • 8A Papoulis. Probability, Random Variables and Stochasitic Process, McGrawHill, Inc., Third Edition, 1991.
  • 9E Karastergios, M A K Sumanasena, B G Evans. Simple SNR estimation for mobile fading channels, Electronic Letters, 2003, 39(2): 244-245.
  • 10Koushik Maharatna, Eckhard Grass,and Ulrich Jagdhold. A64-point Fourier Transform Chip for High-speed Wireless LAN Application Using OFDM. IEEE Journal of Solid Circuits, March 2004, 39(3).

共引文献7

同被引文献6

  • 1尹勇生,高明伦,李丽.基于多流水线的可重构系统[J].微电子学与计算机,2005,22(10):88-91. 被引量:1
  • 2田心宇,杨银堂,朱樟明,姚英.一种高速低功耗可重构流水线乘法器[J].微电子学与计算机,2006,23(8):14-16. 被引量:4
  • 3Cohen D. Simplified control of FFT hardware[J]. IEEE Trans. Acoustics, Speech, and Signal Processing, 1976, 24(12) :577 - 579.
  • 4Sanjit K Mitra.数字信号处理-基于计算机的方法[M].2版.北京:清华大学出版社,2006:539-550.
  • 5Yutai Ma. An effective memory addressing scheme for FFT processors[J ]. IEEE Trans. Acoustics, Speech, and Signal Processing, 1999,47(3) :907 - 911.
  • 6Xilinx Inc. Xilinx Development System Reference Guide 7. 0 [DB/OL]. [2007 - 10 - 19]. http://www.xilinx. com.

引证文献1

二级引证文献3

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