DocumentCode :
3745645
Title :
Self-Evolutionary Genetic Algorithm for Vector Field Measuring System Registration
Author :
Qiang Wen;Jia-Song Wang;Cheng-Lin Mao;Cui-Cui Li
Author_Institution :
Coll. of Sci. Harbin, Harbin Eng. Univ., Harbin, China
fYear :
2015
Firstpage :
1358
Lastpage :
1363
Abstract :
Many situations require two vector field measuring systems to work together, such as strap down navigation technology. Therefore, identify the spatial relationship between vector field measuring systems is a prerequisite for engineering applications. This paper deduces the relationship of two vector field measuring systems and proposes fitness function. Then use the self-evolutionary genetic algorithm to align the measuring systems. The simulation results show that self-evolutionary genetic algorithm can be used effectively in the registration of two measuring systems and the noise and sampling data have direct impact on the registration accuracy.
Keywords :
"Sociology","Statistics","Genetic algorithms","Next generation networking","Encoding","Simulation","Noise measurement"
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
Type :
conf
DOI :
10.1109/IMCCC.2015.291
Filename :
7406070
Link To Document :
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