DocumentCode
2305275
Title
Hybrid GPS/TDOA location algorithm in non-line-of-sight environment
Author
Gong Fuxiang ; Zhang Xiaoguo
Author_Institution
State Grid Electr. Sci. Res. Inst., China Realtime DataBase Co., Ltd., Nanjing, China
fYear
2012
fDate
29-31 Dec. 2012
Firstpage
2033
Lastpage
2036
Abstract
Under certain bad conditions, the number of observed GPS satellites is less than 4 for location determination, and TDOA location method in cellular networks can´t get enough TDOA measurements to position the mobile. Steepest decent method used to fuse GPS pseudo-range and TDOA Observations to resolve the problem is introduced. Then Kaiman filter is proposed to deep process the location data. Field experiment is conducted to verify the algorithms. Results show that GPS/TDOA Kaiman Filter integrated navigation algorithm can achieve higher accurate location.
Keywords
Global Positioning System; Kalman filters; cellular radio; time-of-arrival estimation; GPS pseudo-range; GPS satellites; GPS-TDOA Kalman filter integrated navigation algorithm; TDOA location method; TDOA measurements; TDOA observations; cellular networks; hybrid GPS-TDOA location algorithm; nonline-of-sight environment; steepest decent method; Kaiman Filter; NLOS; Steepest Decent Method; TDOA;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4673-2963-7
Type
conf
DOI
10.1109/ICCSNT.2012.6526318
Filename
6526318
Link To Document