FSM model correlation identification method based on Invert-Repeated m-Sequence

被引:0
|
作者
Lei Luo-lan [1 ,2 ]
Wang Qiang [2 ]
机构
[1] Univ Chinese Acad Sci, Beijing 10039, Peoples R China
[2] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
来源
7TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: OPTICAL TEST AND MEASUREMENT TECHNOLOGY AND EQUIPMENT | 2014年 / 9282卷
关键词
Invert-Repeated m-sequence; correlation identification; FSM; modeling simulation; Matlab/Simulink;
D O I
10.1117/12.2068036
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
Fast steering mirror (FSM) is one of the most important components in electro-optical tracking system and access to FSM model is the basis for controlling and fault diagnosis. This paper presented a correlation identification method based on Invert-Repeated m-sequence which can be used in the electro-optical tracking system to achieve the model of FSM under low sampling rate. Firstly, this article discussed the properties of the Invert-Repeated m-sequence and program implemented in matlab language, then analyzed the principle of correlation identification method based on Invert-Repeated m-sequence by utilizing Wiener-Hopf equation which is simple to achieve with strong anti-jamming capability and small perturbations on the system. Finally, a FSM model with the experiment data got by Dynamic Signal Analyzer was built in Matlab/Simulink and identified by the method mentioned in the paper. The experiment showed that correlation identification method which has certain actual application value, based on Invert-Repeated m-sequence can obtain more accurate recognition results even if the FSM system's output signal contained large variance noise.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Integrated M-Sequence Based Transceiver for UWB Sensor Networks
    Galajda, Pavol
    Slovak, Stanislav
    Sokol, Miroslav
    Pecovsky, Martin
    Kmec, Martin
    RADIOENGINEERING, 2019, 28 (01) : 175 - 182
  • [42] M-sequence three-point method to measure absorption coeffcient
    YU Wuzhou
    WANG Zuomin(Institute of Acoustics
    ChineseJournalofAcoustics, 1999, (02) : 142 - 145
  • [43] A METHOD OF INDOOR TARGET DETECTION USING M-SEQUENCE ACOUSTIC SIGNAL
    Yamaguchi, T.
    Nishihara, K.
    Matsuo, H.
    Wang, Y.
    Hashimoto, M.
    Hachiya, H.
    ACOUSTICAL IMAGING, VOL 29, 2008, 29 : 323 - +
  • [44] Blind authentication digital watermark algorithm based on M-sequence
    Zhao, C.-H., 2005, Harbin Institute of Technology (37):
  • [45] Method of fast construction of M-sequence feedback functions with polynomial representation
    Guan J.
    Zhou C.
    Tongxin Xuebao/Journal on Communications, 2018, 39 (04): : 84 - 90
  • [46] Extended approaches for integrated M-sequence based UWB sensors
    Kmec, Martin
    Herrmann, Ralf
    Sachs, Juergen
    Peyerl, Peter
    Rauschenbach, Peter
    ULTRA-WIDEBAND, SHORT-PULSE ELECTROMAGNETICS 8, 2007, : 135 - +
  • [47] A New Class of p-Ary Sequence Families with Low Correlation Property via m-Sequence
    Ren Wenli
    Fu Fangwei
    CHINESE JOURNAL OF ELECTRONICS, 2016, 25 (04) : 678 - 685
  • [49] Adaptive and Smart Threshold for M-Sequence Identification Using Higher Order Statistics
    Gouda, Mamdouh
    Ali, Yasser
    UKSIM 2009: ELEVENTH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION, 2009, : 269 - +
  • [50] SOME NEW RESULTS ON CROSS CORRELATION OF p-ARY m-SEQUENCE AND ITS DECIMATED SEQUENCE
    Chen, Wenbing
    Luo, Jinquan
    Tang, Yuansheng
    Liu, Quanquan
    ADVANCES IN MATHEMATICS OF COMMUNICATIONS, 2015, 9 (03) : 375 - 390