| 题名: | FSM model correlation identification method based on Invert-Repeated m-Sequence |
| 作者: | Lei, Luo-Lan1,2; Wang, Qiang2
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| 出版日期: | 2014
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| 会议名称: | Proceedings of SPIE: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
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| 会议日期: | 2014
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| 学科分类: | Binary sequences - Fault detection - Integral equations - Manufacture - MATLAB - Optical testing - Tracking (position)
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| DOI: | 10.1117/12.2068036
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| 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
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| 语种: | 英语
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| 卷号: | 9282
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| ISSN号: | 0277786X
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| 文章类型: | 会议论文
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| 页码: | 928220
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| Citation statistics: |
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| 内容类型: | 会议论文
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| URI标识: | http://ir.ioe.ac.cn/handle/181551/7411
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| Appears in Collections: | 光电工程总体研究室（一室）_会议论文
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| 2014-2135.pdf（364KB） | 会议论文 | -- | 限制开放 | | View
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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
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| 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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