期刊文献+

一种抗频偏的卫星幅相调制信号识别算法 被引量:20

An Anti-frequency-offset Algorithm for Modulation Recognition of Satellite Amplitude-phase Modulated Signals
下载PDF
导出
摘要 该文针对卫星中的常用调制QPSK,16QAM和新型调制16APSK,32APSK,提出一种自适应构造幅度分布模板,并通过计算实际信号幅度分布向量与幅度分布模板间的匹配误差来进行调制识别的算法。该方法不需要知晓载噪比,不需要人为确定阈值,且对频偏误差的容忍能力强,适合实际工程应用。仿真表明,在载噪比为9 dB,符号个数为4000时,该算法对4种调制信号的识别率能达到98%以上,证明了其有效性。 An anti-frequency-offset algorithm is proposed by utilizing amplitude distribution feature for modulation recognition of conventional satellite modulations, such as QPSK, 16QAM and new modulations like 16APSK and 32APSK. The algorithm is based on adaptive construction of amplitude distribution template. After calculating the matching error between the amplitude distribution template and the actual amplitude distribution vector, the algorithm can recognize the modulation type by choosing the modulation type with the minimum matching error. This method does not need any prior knowledge about Carrier-to-Noise ratio (C/N), as well as threshold, and it is not sensitive to frequency offset. Becasuse of these advantages, the algorith is suitable for engineering application. Computer simulations show that the correct recognition probability is more than 98% when C/N is greater than 9 dB and 4000 symbols are used. It verifies the effectiveness of the algorithm.
出处 《电子与信息学报》 EI CSCD 北大核心 2014年第2期346-352,共7页 Journal of Electronics & Information Technology
关键词 卫星通信 调制识别 APSK 幅度分布 Satellite communication Modulation recognition APSK Amplitude distribution
  • 相关文献

参考文献14

二级参考文献76

共引文献87

同被引文献94

  • 1陈大夫,张尔扬,朱江.快速傅里叶变换载波频偏估计算法[J].电路与系统学报,2006,11(2):128-132. 被引量:18
  • 2奚家熹,王宗欣.基于Hilbert变换的MQAM信号调制体制识别[J].通信学报,2007,28(6):1-6. 被引量:9
  • 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
  • 4吴月娴,葛临东,许志勇.基于累积量的MPSK分类算法性能分析[J].系统工程与电子技术,2007,29(10):1757-1761. 被引量:4
  • 5包锡锐,吴瑛,周欣.基于高阶累积量的数字调制信号识别算法[J].信息工程大学学报,2007,8(4):463-467. 被引量:23
  • 6Tan Luyuan, Wang Qian, YAN Xiao, et al. A recognition algorithm for M-QAM based on amplitude distribution[ C ]//Applied Mechanics and Materials. Clausthal-Zellerfeld: Trans Tech Publications,2012: 20 - 24.
  • 7Dobre 0 A, Abdi A, Bar-Ness Y, et al. Selection combining for modulation recognition in fading channels [ C ]//Proe of IEEE Military Communications Cotfference. Piscataway : Institute of Electrical and E- lectronics Engineers Inc,2005:2499-2505.
  • 8Woo K T, Kok C W. Clustering based distribution fitting algorithm for automatic modulation iv, cognition [ C l//Proc of IEEE Symposium on Computers and Communications. New York :Institute of Electrical and Electronics Engineers Inc,2007 : 13-18.
  • 9Souto N, Dinis R, Silva J C. Analytical matched filter hound for M- QAM hierarchical constellations with diversity lception in multipath rayleigh fading channels [ J ]. IEEE Trans on Communications, 2010,58(3 ) :737-741.
  • 10Luise M, Reggiannini R. Carrier frequency recovery in all-digital mo- dems for burst-mode transmissions[ J ]. IEEE Trans on Communica- lions, 1995,43 ( 2/3/4 ) : 1169- 1178.

引证文献20

二级引证文献165

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