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.
Proc. SPIE. 4222, Process Control and Inspection for Industry
KEYWORDS: Mathematical modeling, Modulation, Polarization, Error analysis, Signal processing, Analytical research, Signal analyzers, Detection theory, Signal detection, Chemical mechanical planarization
In the paper, the polarized light signal is analyzed in theory and a corresponding mathematical model is established. The collected data are dealt with the least-squares-fitting, and so the polarization vector is obtained. The high precision may be obtained, and the digit of A/D converter and the accuracy of the modulating frequency are key factors. The measuring system with a simplified mechanical and electrical structure is presented in the paper. The system is adapted for the rapid and long-distance measuring.