FSM model correlation identification method based on invert-repeated m-sequence

Luo-lan Lei; Qiang Wang

doi:10.1117/12.2068036

18 September 2014 FSM model correlation identification method based on invert-repeated m-sequence

Luo-lan Lei, Qiang Wang

Proceedings Volume 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 928220 (2014) https://doi.org/10.1117/12.2068036
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China

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.

Citation Download Citation

Luo-lan Lei and Qiang Wang "FSM model correlation identification method based on invert-repeated m-sequence", Proc. SPIE 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 928220 (18 September 2014); https://doi.org/10.1117/12.2068036

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KEYWORDS

Electro optical modeling

Data modeling

Interference (communication)

Clocks

Performance modeling

MATLAB

Signal analyzers

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