TY - GEN
T1 - Using genetic algorithms to approximate weighted geometric dilution of precision
AU - Chen, Chien Sheng
AU - Chen, Kai Sheng
AU - Huang, Jen Fa
AU - Li, Yi Ruie
PY - 2016/8/16
Y1 - 2016/8/16
N2 - As the internet and mobile device get universal, mobile positioning in wireless communication becomes an important application. The wireless signal is influenced by many factors. Fading effect and multipath propagation increase the signal propagation time and change the angle of the received signal. All of these reduce mobile positioning accuracy. In line-of-sight (LOS) system, a signal can be measured precisely. However, there are many obstacles between a mobile station (MS) and a base station (BS) in the real environment. It causes non-line-of-sight (NLOS) effect. NLOS is a major factor that causes errors in mobile positioning. Although NLOS influences the signal propagation, these effects can be reduced. To enhance positioning accuracy, we choose the BS with the least error to estimate the mobile position by calculating the geometric dilution of precision (WGDOP), which is a value to quantify positioning performance. A WGDOP small value represents high accuracy. Using WGDOP to select the best combination of BSs improves MS positioning accuracy. Because the calculation of WGDOP is complex, it is a great burden on a device and spends lots of time. To reduce the load of devices, an approximation method based on genetic algorithm (GA) is proposed to derive WGDOP value efficiently.
AB - As the internet and mobile device get universal, mobile positioning in wireless communication becomes an important application. The wireless signal is influenced by many factors. Fading effect and multipath propagation increase the signal propagation time and change the angle of the received signal. All of these reduce mobile positioning accuracy. In line-of-sight (LOS) system, a signal can be measured precisely. However, there are many obstacles between a mobile station (MS) and a base station (BS) in the real environment. It causes non-line-of-sight (NLOS) effect. NLOS is a major factor that causes errors in mobile positioning. Although NLOS influences the signal propagation, these effects can be reduced. To enhance positioning accuracy, we choose the BS with the least error to estimate the mobile position by calculating the geometric dilution of precision (WGDOP), which is a value to quantify positioning performance. A WGDOP small value represents high accuracy. Using WGDOP to select the best combination of BSs improves MS positioning accuracy. Because the calculation of WGDOP is complex, it is a great burden on a device and spends lots of time. To reduce the load of devices, an approximation method based on genetic algorithm (GA) is proposed to derive WGDOP value efficiently.
UR - http://www.scopus.com/inward/record.url?scp=84986222480&partnerID=8YFLogxK
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U2 - 10.1109/IS3C.2016.227
DO - 10.1109/IS3C.2016.227
M3 - Conference contribution
AN - SCOPUS:84986222480
T3 - Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
SP - 895
EP - 898
BT - Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
Y2 - 4 July 2016 through 6 July 2016
ER -