Adaptive recognition algorithm for digital modulation communication signal

被引：0
|
作者：
Wang, C. Y. [1 ]
Yu, W. L. [1 ]
Hou, M. Y. [1 ]
机构：
[1] Air Force Aviat Univ, Campaign & Command Dept, Changchun, Jilin, Peoples R China
来源：
ADVANCES IN ENGINEERING MATERIALS AND APPLIED MECHANICS | 2016年
关键词：
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Recognition of digital modulation schemes plays an important role in communication signal analysis. This paper presents an automatic computer simulation and adaptive recognition algorithm of six kinds of digital modulation types such as 2ASK, 4ASK, 2PSK, 4PSK, 2FSK, and 4FSK, which is applicable to the signal that changes within the scope of the Signal to Noise Rate (SNR) 5 similar to 30 dB. It is opinion that the adaptive algorithm operates rapidly and reliably in automatic recognition of communication signal and it's performance has been evaluated by simulating different types of bind-limited digital signals corrupted by white Gaussian noise. It is found that the overall success rate is not lower than 92% when SNR is over 7 dB.
引用
收藏
页码：289 / 293
页数：5
相关论文
共 50 条
  • [31] Research on Recognition Algorithm of Digital Modulation by Higher Order Cumulants
    Liu Mingzhu
    Zhao Yue
    Shi Lin
    Dong Jingwei
    2014 FOURTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2014, : 686 - 690
  • [32] Advanced Algorithm for Automatic Modulation Recognition for Analogue & Digital signals
    Dahap, Badreldeen Ismail
    Liao HongShu
    2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE), 2015, : 32 - 36
  • [33] Adaptive signal recognition algorithm for different objects on interference background
    Shatalova, V.A.
    Yastrebkov, A.B.
    Izvestiya Vysshikh Uchebnykh Zavedenij. Radioelektronika, 2002, 45 (11): : 54 - 63
  • [34] ALGORITHM OF DIGITAL MODULATION RECOGNITION BASED ON SUPPORT VECTOR MACHINES
    Wang, Lan-Xun
    Ren, Yu-Jing
    Zhang, Rui-Hua
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6, 2009, : 980 - 983
  • [35] AUTOMATIC MODULATION RECOGNITION OF SATELLITE COMMUNICATION SIGNAL BASED ON STATISTIC METHOD
    Wang Long
    Zhang Gengxin
    THIRD INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND TECHNOLOGY (ICCET 2011), 2011, : 753 - 758
  • [36] Open Set Recognition of Communication Signal Modulation Based on Deep Learning
    Zhang, Xinliang
    Li, Tianyun
    Gong, Pei
    Liu, Renwei
    Zha, Xiong
    Tang, Wenqi
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (07) : 1588 - 1592
  • [37] Research on Signal Modulation Recognition in Wireless Communication Network by Deep Learning
    Liu, Chun
    Chen, Lin
    Wu, Yucheng
    NONLINEAR OPTICS QUANTUM OPTICS-CONCEPTS IN MODERN OPTICS, 2022, 55 (3-4): : 331 - 341
  • [38] Research on Signal Modulation Recognition in Wireless Communication Network by Deep Learning
    Liu, Chun
    Chen, Lin
    Wu, YuCheng
    Nonlinear Optics Quantum Optics, 2022, 55 (03): : 331 - 341
  • [39] A CLOCK SIGNAL PHASE ESTIMATION ALGORITHM FOR ADAPTIVE DIGITAL MODEMS
    LOPATIN, SI
    TELECOMMUNICATIONS AND RADIO ENGINEERING, 1990, 45 (05) : 78 - 81
  • [40] Advanced Modulation Formats and Digital Signal Processing for Fiber Optic Communication
    Gorshtein, Alik
    Sadot, Dan
    2010 12TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON), 2011,
12345