DocumentCode :
456651
Title :
A Genetic Approach for Coordinate Transformation of GPS Signals
Author :
Wu, Chih-Hung ; Chou, Hung-Ju ; Su, Wei-Han
Author_Institution :
Dept. of Electron. Eng., Nat. Univ. of Kaohsiung
Volume :
1
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
558
Lastpage :
561
Abstract :
Traditional approach for coordinate transformation is a level-wised process where several sets of equations obtained by geographical survey are invoked, which makes the whole process complicated and introduces the accumulation of calculating errors. This paper presents a genetic-based approach for finding symbolic formulas for transforming coordinate signals received from GPS. In this way, the receiver´s position can be obtained much faster with less computational complexity. We test this concept on different areas in Taiwan and find several new equations that can effectively and better produce accurate coordinates
Keywords :
Global Positioning System; genetic algorithms; learning (artificial intelligence); regression analysis; signal processing; GPS; Global Positioning System; Taiwan; computational complexity; coordinate signal transformation; genetic programming; machine learning; symbolic formula; symbolic regression; Computational complexity; Differential equations; Earth; Genetic programming; Global Positioning System; Information management; Machine learning; Navigation; Satellites; Testing; GPS; genetic programming; machine learning; symbolic regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
Type :
conf
DOI :
10.1109/ICICIC.2006.6
Filename :
1691861
Link To Document :
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