The coordinates signal received from GPS have to be transformed according to the geographic position of the user for locating positions precisely. Traditional coordinate transformation is a level-wised process consisting of several sets of equations obtained by geographical survey. Each level of coordinate transformation takes care of a step of geometric or geographic transformation of coordinates, which makes the whole process complicated. Also, the equations for coordinate transformation are unique with respect to different geographic regions. In this paper, we try to eliminate the steps of coordinate transformation using symbolic regression and genetic programming so that the receiver's position can be obtained much faster with less computation complexity. We test this concept on different areas in Taiwan and find several new equations that can effectively and better produce accurate coordinates.
[1]
A. El-Rabbany.
Introduction to GPS: The Global Positioning System
,
2002
.
[2]
John R. Koza,et al.
Genetic programming - on the programming of computers by means of natural selection
,
1993,
Complex adaptive systems.
[3]
Bernhard Hofmann-Wellenhof,et al.
Global Positioning System
,
1992
.
[4]
Mark J. Willis,et al.
Using a tree structured genetic algorithm to perform symbolic regression
,
1995
.
[5]
Gary C. White,et al.
Analysis of Wildlife Radio-Tracking Data
,
1990
.
[6]
Michael J. Rycroft,et al.
Understanding GPS. Principles and Applications
,
1997
.