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 :
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