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题名:
FSM model correlation identification method based on Invert-Repeated m-Sequence
作者: Lei, Luo-Lan1,2; Wang, Qiang2
出版日期: 2014
会议名称: Proceedings of SPIE: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
会议日期: 2014
学科分类: Binary sequences - Fault detection - Integral equations - Manufacture - MATLAB - Optical testing - Tracking (position)
DOI: 10.1117/12.2068036
中文摘要: 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. © 2014 SPIE.
英文摘要: 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. © 2014 SPIE.
收录类别: Ei
语种: 英语
卷号: 9282
ISSN号: 0277786X
文章类型: 会议论文
页码: 928220
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7411
Appears in Collections:光电工程总体研究室(一室)_会议论文

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作者单位: 1. University of Chinese Academy of Sciences, Beijing, China
2. Institute of Optics and Electronics, Chinese Academy of Science, Chengdu, China

Recommended Citation:
Lei, Luo-Lan,Wang, Qiang. FSM model correlation identification method based on Invert-Repeated m-Sequence[C]. 见:Proceedings of SPIE: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment. 2014.
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