Booth Id:
PHYS062T
Category:
Year:
2016
Finalist Names:
Cherne, Carl
Dargan, Richard
Abstract:
Our research examines the possibility of using satellite selection to improve global positioning system (GPS) accuracy. Although GPS is generally accurate at showing users where they are located on the earth, various sources of error may cause its output to be incorrect. The primary source of this error is in the atmosphere. GPS uses satellites that transmit radio signals, and these signals are subject to atmospheric interference. A GPS receiver needs to get data from at least four satellites in order to find its position, but typically there are more than four satellites available. We looked at how using the data from different configurations of satellites can reduce error caused by the atmospheric effect. To do this, we created a computer simulation that allows us to quickly test thousands of satellite configurations at an instant in time. Our simulations showed that the average error is lowest when data from all possible satellites are used. However, there are many configurations that give much less error. After multiple runs of the simulation, we concluded that a GPS is most accurate when using the combination of four satellites whose angles of elevation from satellite to receiver are closest to 45 degrees. This method offers an improvement in accuracy compared to the current method that GPS uses to select satellites, and would be practical to implement on GPS receivers.