期刊文献+

一种新的MPSK信号调制分类算法 被引量:2

A New Algorithm for Modulation Classification of MPSK Signals
下载PDF
导出
摘要 针对多进制相移键控(MPSK)信号的调制识别问题,提出了一种新的基于2、4阶循环累积量的调制识别算法。先利用信号的2阶和4阶循环累积量的特征,将MPSK信号分为BPSK和QPSK与8PSK以上两大调制子类,再由信号循环频率等于信号载频处的2阶和4阶循环累积量,构成BPSK和QPSK的分类特征量,实现对BPSK和QPSK信号的调制识别。该算法在MPSK信号码元不等概率出现时依然有效。由于高斯噪声的循环累计量均为0,因此此算法具有一定的抗高斯噪声能力。实验仿真结果验证了该算法的有效性。 A new algorithm based on two-order and four-order cyclic cumulants is proposed for modulation classification of Mary Phase Shift Keying(MPSK) signals.MPSK signals are classified to BPSK and QPSK or more than 4PSK modulation subclasses by the feature of their two-order and four-order cyclic cumulants,then a feature parameter is picked up from signals' two-order and four order cyclic cumulants at the cyclic frequency which equals the frequency of signals,and finally BPSK and QPSK are classified by the feature parameter.Even if the probabilities of codes are unequal,the algorithm is still effective.Because the cyclic cumulants of Gaussian noise which are higher than two-order are zero,to some extent,the algorithm can depress Gaussian noise.The result of simulation shows that the algorithm is efficient.
作者 付琴琴
出处 《电子科技》 2012年第4期1-5,共5页 Electronic Science and Technology
基金 中央高校基本科研业务费专项资金资助(JY10000902030)
关键词 循环累积量 调制分类 多进制相移键控 cyclic cumulants modulation classification mary phase shift keying
  • 相关文献

参考文献13

  • 1VLADIMIR D O,MIROSLAV L D.Auto modulation classifi-cation algorithm using higher-order cumulants under real-world channel conditions[J].IEEE Communications Let-ters,2009,12(13):917-919.
  • 2WU Hsiaochun,SAQUIB M,YUN Zhifeng.Novel automaticmodulation classification using cumulant features for commu-nications via multipath channels[J].IEEE Transactions onWireless Communications,2008,8(7):3098-3105.
  • 3FAHED H,OCTAVIA A D,DIMITRIE C P.On the likeli-hood-based approach to modulation classification[J].IEEE Transactions on Wireless Communication,2009,12(8):5884-5892.
  • 4WANG Fanggang,WANG Xiaodong.Fast and robust modula-tion classification via kolmogorov-smirnov test[J].IEEETransactions on Communications,2010,58(8):2324-2332.
  • 5WILLIAM C H,CLAUDIO R C M.Asynchronous classifica-tion of digital amplitude-phase modulated signals in flat-fading channels[C].IEEE Translations on Communications,2011,59(1):7-12.
  • 6KA M H,CANUTE V,DAVID G D.Automatic classificationof amplitude,frequency,and phase shift keyed signals in thewavelet domain[C].Japan:2010 IEEE Sarnoff Symposium,2010(4):1-6.
  • 7ZHANG Wei,YANG Hu.Automatic digital modulation recog-nition algorithms based on approximately logarithm likelihoodmethod[C].Sydney:2006 International Conference on Com-munications,Circuits and Systems Proceeding,2006,6(2):834-838.
  • 8LIU Luokun,XU Jiadong.A novel modulation classificationmethod based on high order cumulants[C].USA:Interna-tional Conference on Wireless Communications,Networkingand Mobile Computing,2006(9):1-5.
  • 9LIU Yang,ZHI Ji,XU Xiaodong,et al.Modulation classifica-tion in multipath fading environments[C].Kunming:4th In-ternational Symposium on Wireless Communication Systems,2007(10):171-174.
  • 10SUN Gangcan.MPSK signals modulation classification usingsixth-order cumulants[C].Ultra:2010 3rd InternationalCongress on Image and Signal Processing,2010(9):4404-4407.

二级参考文献19

  • 1冯平江,葛临东.基于自适应模糊C-均值算法信号调制的识别[J].通信技术,2003,36(12):29-30. 被引量:1
  • 2赖昭胜,管立新,曾祥华.QPSK高性能数字调制器的FPGA实现[J].微计算机信息,2006,22(12Z):139-140. 被引量:6
  • 3段吉海.基于CPLD/FPGA的数字通信系统建模与设计[M].北京:电子工业出版社,2006.
  • 4黎洪松.数字通信原理[M].西安:西安电子科技大学出版社,2006:145.
  • 5查光明 熊贤祚.扩频通信[M].西安:西安电子科技大学出版社,1990.118-135.
  • 6Ananthram Swami. Hierarchical Digital Modulation Classification Using Cumulants[ J ]. IEEE Transactions on Communications ,2000,48 ( 3 ) :416 - 429.
  • 7Azzouz, E. E. ; Nandi, A. K. , Automatic identification Recognition of Communicationn Signals [ M ] , Kluwer Academic Publishes, Netherlands, 1996.
  • 8Mobasseri, B G. Digital modulation classification using constellation shape [ J ]. Signal Processing, 2000, 11 ( 1 ) : 13-36.
  • 9Wen Wei ,Jerry M Mendel. A Fuzzy Logic Method for Modulation Classification in Nonideal Environments [ J ]. IEEE Transactions On Fuzzy Systems, 1999,7 (3) :333 - 344.
  • 10Roger L Peterson. Introduction Spread - spectrum Communications[M]. Prentice Hall, Inc. , 1995.

共引文献9

同被引文献55

  • 1王建新,宋辉.基于星座图的数字调制方式识别[J].通信学报,2004,25(6):166-173. 被引量:54
  • 2冯祥,李建东.调制识别算法及性能分析[J].电波科学学报,2005,20(6):737-740. 被引量:14
  • 3高玉龙,张中兆.基于循环谱的同信道多信号调制方式识别[J].高技术通讯,2007,17(8):793-797. 被引量:18
  • 4Weaver C S, Cole C A, Krumland R B, et al. The auto- matic classification of modulation types by pattern recog-nition. California:Stanford University, 1969.
  • 5Nandi A K, Azzouz E E. Algorithms for automatic modu- lation recognition of communication signals. IEEE Trans- actions on Communications, 1998, 46 (4) : 431-436.
  • 6Swami A, Sadler B M. Hierarchical digital modulation classification using cumulants. IEEE Transactions on Communications, 2000, 48 ( 3 ) : 416-429.
  • 7Sanderson J, Li X, Liu Z, et al. Hierarchical blind mod- ulation classification for underwater acoustic communica- tion signal via cyclostationary and maximal likelihood analysis. In: Proceedings of the Military Communications Conference, San Diego, USA, 2013. 29-34.
  • 8Like E, Chakravarthy V D, Ratazzi P, et al. Signal clas- sification in fading channels using cyclic spectral analy- sis. EURASIP Journal on Wireless Communications and Networking, 2009 : 14.
  • 9Dobre 0 A, Abdi A, Bar-Ness Y, et al. Survey of auto- matic modulation classification techniques: classical ap- proaches and new trends. Communications, IET, 2007, 1 (2) : 137-156.
  • 10Shi Q, Gong Y, Guan Y L. Modulation classification for asynchronous high-order QAM signals. Wireless Commu- nications and Mobile Computing, 2011, 11 (10) : 1415- 1422.

引证文献2

二级引证文献17

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