Title :
Adaptive robust ultra-tightly coupled global navigation satellite system/inertial navigation system based on global positioning system/BeiDou vector tracking loops
Author :
Fei Xie ; Jianye Liu ; Rongbing Li ; Yijun Hang
Author_Institution :
Navig. Res. Center, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
With the development of global navigation satellite system (GNSS), the GNSS/inertial navigation system (INS) integrated system offers the users better positioning or navigation performance. This paper proposes an adaptive robust ultra-tightly coupled GNSS/INS system based on a novel vector tracking strategy for combining both global positioning system (GPS) L1 and BeiDou B1 signals´ tracking together. The inherent mechanism of the vector tracking approach has been analysed to describe the relationship between the replica signals and user´s dynamic state. Then, an adaptive robust filter is used to gain the accurate estimates of vehicle states when the vehicle is under a weak-signal or large manoeuvring environment. Finally, the experimental platform is set up using a GPS/BeiDou signal simulator and an inertial measurement unit simulator and the test results show that the proposed ultra-tightly coupled system can keep the tracking loops from the high dynamic perturbations, which saves the cost time of signal reacquisition. Moreover, the presented adaptive robust ultra-tightly coupled system can obtain a higher accuracy than Kalman filtering in a simultaneous weak-signal and large manoeuvring environment.
Keywords :
Global Positioning System; adaptive filters; estimation theory; inertial navigation; matrix algebra; BeiDou B1 signals; GNSS-INS integrated system; GPS L1 signals; GPS-BeiDou signal simulator; adaptive robust filter; adaptive robust ultra-tightly coupled GNSS-INS system; dynamic state; global navigation satellite system; global positioning system L1 signals; inertial measurement unit simulator; inertial navigation system; replica signals; signal reacquisition; tracking loops; vector tracking strategy; vehicle states;
Journal_Title :
Radar, Sonar & Navigation, IET
DOI :
10.1049/iet-rsn.2013.0294