DocumentCode
577836
Title
Study on time registration method for photoelectric theodolite data fusion
Author
Yang hong-tao ; Gao Hui-bin
Author_Institution
Changchun Inst. of Opt., Fine Mech. & Phys., Changchun, China
fYear
2012
fDate
6-8 July 2012
Firstpage
3137
Lastpage
3139
Abstract
In range measurement, theodolite and radar constitute a real-time tracking system at different sites to track the same target in the air and get useful information exactly and timely. As the optical theodolite and radar have different sampling frequency and measurement system, the data is sent to the fusion center is asynchronous. This paper proposed a time registration method based on multi-sensor data using Wavelet neural network algorithm,which not only better solved the basic problems of theodolite fusion tracking but also improve the efficiency of data fusion. Simulation experiment and comparison with other time registration method have shown the advantage of this method.
Keywords
measurement systems; neural nets; optical images; photoelectricity; radar computing; radar tracking; real-time systems; sensor fusion; target tracking; theodolites; wavelet transforms; fusion center; measurement system; multisensor data; photoelectric theodolite data fusion; radar constitute; range measurement; real-time tracking system; sampling frequency; theodolite constitute; theodolite fusion tracking; time registration method; wavelet neural network algorithm; Biological neural networks; Optical variables measurement; Radar tracking; Target tracking; Theodolites; Wavelet analysis; Photoelectric Theodolite; Time Registration; Wavelet Neural Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6358411
Filename
6358411
Link To Document