Paper
3 January 2020 A new adaptive weighted fusion algorithm for BDS and UWB positioning system
Author Affiliations +
Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 1137336 (2020) https://doi.org/10.1117/12.2557493
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China
Abstract
In the outdoor scene, most users’ localization requirements can be fulfilled through the Beidou system (BDS). However, when facing some challenging environments with serious shadowing and reflection, such as the positioning of seaport containers, the number of observations of the BDS will decrease and the confidence of the observed pseudorange will degrade. In this case, auxiliary data must be added in order to achieve high-precision positioning. Ultra-wide band (UWB) has strong penetrating power and nanosecond temporal resolution, meantime it has the characteristics of highprecision positioning, so this paper adopts the combined positioning method of BDS and UWB to locate targets in the challenging environment. In this paper, appropriate UWB layout location is selected according to the principle of minimum geometric dilution of precision (GDOP). For BDS/UWB co-location system, this paper proposes a new adaptive weighted method based on pseudorange residual detection for weighted least squares (WLS) localization algorithm. Based on the WLS localization algorithm, the Kalman filter (KF) is introduced to improve the WLS performance, so this paper adopts a WLS and KF positioning algorithm (WLS-KF) for BDS/UWB co-location system. The simulation results show that this positioning method can achieve the positioning accuracy below m-level, which can meet the demand of high precision positioning in the complex environment such as seaport containers.
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Rui Xue, Yue Xu, and Jianchao Yang "A new adaptive weighted fusion algorithm for BDS and UWB positioning system", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 1137336 (3 January 2020); https://doi.org/10.1117/12.2557493
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KEYWORDS
Filtering (signal processing)

Data processing

Detection and tracking algorithms

Satellites

Data centers

Clocks

Receivers

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