.png){kind=icon}
.png){kind=icon}
Return
A positioning method based on pseudorange filter under extremely weak signals
.png){kind=icon}
OA
AI
T
R
W
Z
DOI：10.1088/1361-6501/ae65b6.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Global Navigation Satellite Systems (GNSS) play a crucial role in spatiotemporal services. However, in extremely weak signal environments, traditional positioning methods face severe challenges. These include missing navigation data and excessive measurement noise. Consequently, positioning performance degrades or suffers from complete outages. To address these challenges, this study proposes an assisted positioning method that combines a pseudorange dynamic filtering model with a Weighted Kalman Filter. First, the unavailability of the carrier phase is analyzed. This issue renders traditional smoothing techniques ineffective. Then, the variation of pseudorange noise with respect to the carrier-to-noise density ratio ( C/N0) is examined. Based on this analysis, a multi-constellation weighting method is proposed. This method fuses prior noise information from geostationary Earth orbit, inclined geosynchronous orbit, and medium Earth orbit satellites. Consequently, it achieves optimal estimation regarding the distinct time-varying characteristics of multi-constellation signals. To ensure a balance between positioning accuracy and computational operations, the performance improvement of the proposed method is validated. Field and simulation experiments utilizing five BeiDou Navigation Satellite System satellites were conducted. Under 3 m and 10 m noise conditions, the 3D root mean square error is reduced by 51.10 % and 69.46 %, respectively, compared to direct positioning. These results demonstrate that the proposed method effectively mitigates pseudorange noise diffusion. It ensures reliable positioning accuracy and availability under extremely weak signals while requiring fewer computational operations.
Keywords:
GNSS
BDS
weak signals
pseudorange filter
mixed constellation
Journal
IF:
3.4
Papers:
2.6K
Citations:
2.3W
Organization
Cited Papers