| FSM model correlation identification method based on Invert-Repeated m-Sequence | |
| Lei, Luo-Lan1,2; Wang, Qiang2 | |
| Volume | 9282 |
| Pages | 928220 |
| 2014 | |
| Language | 英语 |
| ISSN | 0277786X |
| DOI | 10.1117/12.2068036 |
| Indexed By | Ei |
| Subtype | 会议论文 |
| Abstract | 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.; 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 Name | Proceedings of SPIE: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment |
| Conference Date | 2014 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/7411 |
| Collection | 光电工程总体研究室（一室） |
| Affiliation | 1. 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-SA | Application Full Text | ||
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