IOE OpenIR  > 光电工程总体研究室(一室)
FSM model correlation identification method based on Invert-Repeated m-Sequence
Lei, Luo-Lan1,2; Wang, Qiang2
Volume9282
Pages928220
2014
Language英语
ISSN0277786X
DOI10.1117/12.2068036
Indexed ByEi
Subtype会议论文
AbstractFast 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. © 2014 SPIE.; 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. © 2014 SPIE.
Conference NameProceedings of SPIE: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Conference Date2014
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7411
Collection光电工程总体研究室(一室)
Affiliation1. University of Chinese Academy of Sciences, Beijing, China
2. Institute of Optics and Electronics, Chinese Academy of Science, Chengdu, China
Recommended Citation
GB/T 7714
Lei, Luo-Lan,Wang, Qiang. FSM model correlation identification method based on Invert-Repeated m-Sequence[C],2014:928220.
Files in This Item:
File Name/Size DocType Version Access License
2014-2135.pdf(364KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lei, Luo-Lan]'s Articles
[Wang, Qiang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lei, Luo-Lan]'s Articles
[Wang, Qiang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lei, Luo-Lan]'s Articles
[Wang, Qiang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.