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
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;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526318