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Proceedings Paper

Velocity-forecast filters of theodolite
Author(s): Yongmei Huang; Jiaguang Ma; Chengyu Fu
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Paper Abstract

Tracking accuracy will be improved greatly and stability of control system will not be affected by input velocity of moving target in electro-optical theodolite. However, the velocity of moving target can’t be obtained directly from video or infrared data in electro-optical theodolite. This paper designed two effective forecast filters, Kalman filter and finite-memory smooth filter, to obtain the velocity of moving target. The simulated and test results shows that velocity of moving target can be estimated by fitting the proper position quantity of electro-optical theodolite to the target-missing quantity and using forecast filters. The tracking accuracy of electro-optical theodolite can be improved effectively in this way.

Paper Details

Date Published: 4 August 2003
PDF: 7 pages
Proc. SPIE 5082, Acquisition, Tracking, and Pointing XVII, (4 August 2003); doi: 10.1117/12.486852
Show Author Affiliations
Yongmei Huang, Institute of Optics and Electronics (China)
Jiaguang Ma, Institute of Optics and Electronics (China)
Chengyu Fu, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 5082:
Acquisition, Tracking, and Pointing XVII
Michael K. Masten; Larry A. Stockum, Editor(s)

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