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一种多径信道下多体制信号识别方法

李艳玲 李兵兵 殷昌义 刘明骞

华中科技大学学报:自然科学版2011,Vol.39Issue(12):98-101,4.
华中科技大学学报:自然科学版2011,Vol.39Issue(12):98-101,4.

一种多径信道下多体制信号识别方法

Identification method for modulation identification of multi-system signals in multipath channels

李艳玲 1李兵兵 2殷昌义 1刘明骞1

作者信息

  • 1. 西安电子科技大学ISN国家重点实验室,陕西西安710071
  • 2. 河南农业大学信息与管理科学学院,河南郑州450002
  • 折叠

摘要

Abstract

In order to solve the difficulty in classifying a variety of digital signal types for multipath fading channel,using cyclic spectral analysis,a classification method was proposed,according to the characteristic of cyclic spectral analysis,the correlation coefficients between the frequency spectrum′s section and cyclic spectrum′s were calculated,as the feature parameter of the modulation identification.Through theoretical analysis,it is certified that the extracted feature parameter can eliminate the influence of multipath channel parameter.Thus,this approach overcomes the disadvantage that the probability of correct classification is strongly influenced by multipath fading channel in traditional methods based on cyclic spectrum or cyclic correlation coefficient.Monte Carlo simulation results show that in identification of 2PSK(2-ary phase shift keying),4QAM(4-ary quadrature amplitude modulation) and OFDM(orthogonal frequency division multiplexing) signals,the proposed method yields the probability of correct classification of 90% above in multipath fading channel when the signal-to-noise ratio is 0 dB.Compared with previous approaches based cyclic spectrum,the method proposed by this paper achieves better identification performance.Besides,this method has better anti-multipath interference capability.

关键词

调制识别/多径信道/循环谱/循环相关系数/特征提取

Key words

modulation identification/multi-path channel/circular spectrum/cyclic correlation coefficient/feature extraction

分类

信息技术与安全科学

引用本文复制引用

李艳玲,李兵兵,殷昌义,刘明骞..一种多径信道下多体制信号识别方法[J].华中科技大学学报:自然科学版,2011,39(12):98-101,4.

基金项目

国家高技术研究发展计划资助项目 ()

国家自然科学基金资助项目 ()

高等学校学科创新引智计划资助项目 ()

华中科技大学学报:自然科学版

OA北大核心CSCDCSTPCD

1671-4512

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