An algorithm of modulated signal recognition based on statistical parameters

被引:0
|
作者
Liu, Yang [1 ]
Xu, Dalong [1 ]
Xu, Wenwen [1 ]
Wang, Hao [1 ]
Li, Xiang [2 ]
Qi, Liang [3 ]
机构
[1] Nanjing Univ Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China
[2] Northern Inst Elect Equipment China, Beijing 100191, Peoples R China
[3] Nanhu Lab, Jiaxing, Peoples R China
关键词
Modulation recognition; instantaneous information; characteristic parameters;
D O I
10.1109/APCAP56600.2022.10069674
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper deals with the modulation identification of blind modulation signals. This paper proposes a new characteristic parameter to distinguish 8PSK from other MPSK(2 and 4) signals. The simulation results show that the average recognition accuracy of the algorithm can reach 90% when the signal noise ratio(SNR)is 8 dB, and it can recognize thirteen modulation signals of CW, AM, FM, LSB, USB, 2ASK, 4ASK, BPSK, QPSK, 8PSK, 2FSK, 4FSK, and 16QAM.
引用
收藏
页数:2
相关论文
共 50 条
  • [1] Modulation recognition of signal based on statistical principal component feature parameters
    Chen, Huaixin
    Nan, Jianshe
    Xiao, Xianci
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2004, 33 (03):
  • [2] Digital modulated signal recognition based on intrisic time-scale decomposition parameters
    Li X.
    Tian B.
    Zhan Y.
    Sun Y.-J.
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2010, 37 (06): : 1132 - 1136
  • [3] An iterative algorithm for estimation of linear frequency modulated signal parameters
    De Luigi, C
    Moreau, E
    IEEE SIGNAL PROCESSING LETTERS, 2002, 9 (04) : 127 - 129
  • [4] SPEECH SIGNAL FEATURE PARAMETERS EXTRACTION ALGORITHM BASED ON PCNN FOR ISOLATED WORD RECOGNITION
    Wang Guang-yan
    Zhang Yi-ming
    Sun Mei-lin
    Wang Xia
    Zhang Yan
    PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING (ICALIP), 2016, : 679 - 682
  • [5] Detection algorithm of modulated signal based on spectrum variance
    Zhou, Rong-hua
    He, Xian-deng
    Chen, Nan
    Cheng, Jin
    WIRELESS COMMUNICATION AND SENSOR NETWORK, 2016, : 256 - 264
  • [6] Statistical methods based modulation recognition algorithm
    Zorlu, E
    Güler, NY
    Ölçer, I
    PROCEEDINGS OF THE IEEE 12TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, 2004, : 403 - 406
  • [7] An EKF-based algorithm for learning statistical hidden dynamic model parameters for phonetic recognition
    Togneri, R
    Deng, L
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING, 2001, : 465 - 468
  • [8] Bearing diagnostics based on pattern recognition of statistical parameters
    Xi, FF
    Sun, Q
    Krishnappa, G
    JOURNAL OF VIBRATION AND CONTROL, 2000, 6 (03) : 375 - 392
  • [9] Multichannel radar signal recognition algorithm based on DCS
    Wang H.-W.
    Fan X.-Y.
    Chen Y.
    Yang Y.-Z.
    Binggong Xuebao/Acta Armamentarii, 2016, 37 (04): : 661 - 669
  • [10] Research on Identity Recognition Algorithm Based on Speech Signal
    Cai, Chengtao
    Liu, Fan
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 1085 - 1090