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Proceedings Paper

Application of neural network and spheric harmonics function to system error correction of electro-optical tracker system with X-Y gimbal
Author(s): Xingfa Liu
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Paper Abstract

Correction of the system error of electro-optical tracker system could improve the measurement accuracy and guidance accuracy. Least square method has lower accuracy than spheric harmonics function method. Neural network could fit precisely complicated curves or curved faces and the system error of electro-optical tracker system with X-Y gimbal is locate on a curve composed of angle values. Analysis and simulation prove that BP neural network method improves the accuracy than spheric harmonics function method for about 8% and could have wider application scope.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 67221A (14 November 2007); doi: 10.1117/12.782993
Show Author Affiliations
Xingfa Liu, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 6722:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies

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