期刊文献+

信号识别中的决策论分类器改进 被引量:4

Improvement of Decision-making Classifiers in Modulation Recognition
原文传递
导出
摘要 调制方式自动识别的目的就是在尽可能少的先验知识前提下,判断出通信信号的调制方式,并估计出相应的调制参数。近年来,许多学术和军事研究机构都将兴趣集中在调制识别算法的研究和开发上。通过对Nandi A K和Azzouz E E所提出特征值的介绍、以及利用特征值对信号进行模拟信号调制方式识别的原理,提出了改进的特征值来取代传统特征值。仿真结果显示,改进的基于决策论的分类方法不但具有较高的识别率,而且相比改进前的分类器具有更快的识别速度。 The objective for automatic modulation classification is to recognize the modulation type and estimate the corresponding modulation parameters when the existing knowledge is relatively limited.In recent years,many academic and military institutions focus on the research and development of modulation recognition algorithms.Based on analysis of the eigenvalues proposed by A.K.Nandi and E.E.Azzouz,an improved eigenvalue is presented for substitution.Experiment results indicate thatthis new classifier based on policy-making theory is of high recognition rate and fairly high recognition speed.
出处 《通信技术》 2011年第3期7-8,共2页 Communications Technology
关键词 决策论 调制方式识别 特征值 认知无线电 policy-making theory automatic modulation classification eigenvalue cognitive radio
  • 相关文献

参考文献4

二级参考文献12

  • 1李圣安,王保云.一种新的智能无线技术——认知无线电技术[J].电信快报,2005(11):18-20. 被引量:12
  • 2梁燕芬,殷瑞祥.认知无线电技术[J].信息安全与通信保密,2007,29(3):55-57. 被引量:11
  • 3Haykin S. Cognitive radio:Brain-empowered wireless communication [J]. IEEE JSAC, 23(2):201-220.
  • 4Mitola J, Maguire G, Jr.. Cognitive radio: Making softwave radios more personal[J]. IEEE Personal Communication Magazine, 1999, 6(4):13-18.
  • 5Mitola J. Cognitive radio for flexible mobile multimedia communications[C]. IEEE International Workshop on Mobile Multimedia Communication 1999 (MMC' 99), 1999:15 17, 3-10.
  • 6Ghasemi, Sousa ES. Collaborative spectrum sensing for opportunistic access in fading environment[C]. 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Nov. 8-11 2005, Baltimore, MD, USA 2005:131-136.
  • 7Urkowitz H. Energy detection of unknown deterministic signals[J]. IEEE Proceedings, 55(4):523-521.
  • 8Dandawate A V, Giannakis G B. Statistical test for presence of cyclostationarity[J]. IEEE trans, on Signal Processing, 42(9):2355 2369.
  • 9WILLIAM A. GARDNER, Measurement of Spectral Correlation[J] IEEE trans on Acoustics, Speech, and Signal processing 34(5) :1111-1123
  • 10SoodeshBuljore. Introduction to IEEEP1900. 4Activities[J]. Ieice Trans. Commun, 2008, E91 B(1):2-7.

共引文献2

同被引文献23

  • 1孙伟豹,孙虎,王军.判决法对数字和模拟信号的自动识别及验证[J].计算机科学,2012,39(S3):88-89. 被引量:3
  • 2李杨,李国通,杨根庆.通信信号数字调制方式自动识别算法研究[J].电子与信息学报,2005,27(2):197-201. 被引量:33
  • 3赵玲.基于Kohonen网络的入侵检测方法[J].信息安全与通信保密,2005,27(3):125-127. 被引量:1
  • 4陈健,阔永红,李建东,傅丰林.通信信号自动识别方法[J].电路与系统学报,2005,10(5):102-109. 被引量:11
  • 5AZZOUZ E E, NANDI A K. Automatic identification of digital modulation types[J]. Signal Processing, 1995,47 ( 1 ) :55-69.
  • 6AZZOUZ E E, NANDI A K. Automatic modulation recogition [J]. Journal of the Franklin Institute, 1997,334B(2):41-273.
  • 7Texas Instruments公司.TMS320F2810芯片手册[EB/OL].[2012-07-30].http://focus.ti.com/docs/prod/folders/print/tms320f2812.html,2012:3-70.
  • 8SCHLOSBERG H. Three Dimensions of Emotion[D].Harold:Psychological Review,1954.
  • 9YANG M H. Detecting Faces in Images:a Survey[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,(24):34-58.
  • 10LYONS M J,BUDYNEK J,AKAMATSU S. Automatic Classification of Single Facial Images[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,(12):1357-1362.

引证文献4

二级引证文献13

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