Title :
High reliability integer ambiguity resolution of 6DOF RTK GPS/INS
Author :
Yiming Chen ; Sheng Zhao ; Dongfang Zheng ; Farrell, Jay A.
Author_Institution :
Dept. of Electr. Eng., Univ. of California, Riverside, Riverside, CA, USA
Abstract :
This article presents a Contemplative Realtime (CRT) framework to resolve a vector of carrier phase integer ambiguities existing in Real-Time Kinematic GPS aided inertial navigation systems (RTK GPS/INS). Within this CRT framework, a Maximum-a-Posteriori (MAP) estimation method is derived to represent the RTK GPS/INS problem, and solved by Nonlinear Mixed Integer Least Square (NMILS) approach. This approach allows the utilization of multiple epochs of GPS data with INS defined motion constraints over a time interval. The NMILS approach over time intervals allows hypothesis testing on each interval to contemplate alternative fault detection hypotheses. The objectives are to enhance reliability and accuracy. Implementation results are included that demonstrate the performance of the proposed method achieving centimeter position accuracy.
Keywords :
Global Positioning System; fault diagnosis; inertial navigation; integer programming; kinematics; least squares approximations; maximum likelihood estimation; nonlinear programming; telecommunication network reliability; CRT framework; DOF RTK GPS-INS; Global Positioning System; MAP estimation; NMILS approach; contemplative realtime; fault detection; high reliability integer ambiguity resolution; hypothesis testing; maximum-a-posteriori estimation; nonlinear mixed integer least square approach; real-time kinematic GPS aided inertial navigation system; reliability enhancement; Accuracy; Estimation; Global Positioning System; Phase measurement; Satellites; Time measurement; Trajectory;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7040426