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
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