Multi-Antenna and Geometry-Based Differential GNSS Positioning for Vehicles

To improve the positioning accuracy without reference stations, in this paper, we propose a multi-antenna and geometry based differential GNSS positioning system. Multiple independent antennas which simultaneously track the same satellites are connected to the receiver by cables and form a given geo...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2024-05, Vol.25 (5), p.3389-3401
Main Authors: Li, Xiukui, Qi, Yunchi
Format: Article
Language:English
Subjects:
Accuracy
Antenna arrays
Antenna measurements
Antennas
BeiDou Navigation Satellite System
Cables
Differential geometry
differential GNSS
Error analysis
fusion
Geometry
Global navigation satellite system
Global positioning systems
GPS
Ill-conditioned problems (mathematics)
MIMO
multiple antennas
Navigation
Navigation satellites
Phase measurement
Position measurement
positioning
Receivers & amplifiers
Receiving antennas
Regularization
Regularization methods
Satellite antennas
Satellite navigation systems
Satellite tracking
Satellites
Searching
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Description
Summary:To improve the positioning accuracy without reference stations, in this paper, we propose a multi-antenna and geometry based differential GNSS positioning system. Multiple independent antennas which simultaneously track the same satellites are connected to the receiver by cables and form a given geometry. Carrier phases of the signals received by those antennas are measured and differenced at the receiver. The single differences of phase cycle integer ambiguities are solved by exploiting the geometry formed by the antennas. Then the positions of multiple antennas are estimated firstly by using the differenced phase measurements and the geometric relationship between antennas. To further improve the antenna position accuracy, with multiple antennas and satellites available, the matrix of single differences of phase cycle integers is considered as a fingerprint to search and identify the final antenna positions. Taking advantage of the firstly estimated positions of antennas being in a regular geometric shape, the searching space for the antenna positions will be compressed and the searching process is simplified. Regularization method is employed to solve the ill-conditioned problem. Positioning error performance is evaluated by simulations. The proposed system can achieve lane level positioning accuracy without extra facilities. When the standard deviation of phase measurement error is less than 0.025 cycles, the proposed system can achieve high positioning accuracy. If the receiver can track satellites of more GNSS systems such as Global Positioning System (GPS) and BeiDou Navigation Satellite System (BDS) simultaneously, with eight or more satellites visible, the robustness of this system will be improved.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2023.3323818