A Kalman Filter-Based Short Baseline RTK Algorithm forSingle-Frequency Combination of GPS and BDS

Sensors

卷:14

Feng Guan¹  Xiaowei Cui¹  Sihao Zhao¹  Mingquan Lu¹ 

[1] Department of Electronic Engineering, Tsinghua University, No.1 Qinghuayuan, Haidian District, Beijing 100084, China;

关键词: real time kinematic (RTK) algorithm;    Global Positioning System (GPS);    BeiDou navigation satellite system (BDS);    Kalman filter;    ambiguity resolution;   

DOI  :  10.3390/s140815415

来源: DOAJ

【 摘 要 】

The emerging Global Navigation Satellite Systems (GNSS) including the BeiDou Navigation Satellite System (BDS) offer more visible satellites for positioning users. To employ those new satellites in a real-time kinematic (RTK) algorithm to enhance positioning precision and availability, a data processing model for the dual constellation of GPS and BDS is proposed and analyzed. A Kalman filter-based algorithm is developed to estimate the float ambiguities for short baseline scenarios. The entire work process of the high-precision algorithm based on the proposed model is deeply investigated in detail. The model is validated with real GPS and BDS data recorded from one zero and two short baseline experiments. Results show that the proposed algorithm can generate fixed baseline output with the same precision level as that of either a single GPS or BDS RTK algorithm. The significantly improved fixed rate and time to first fix of the proposed method demonstrates a better availability and effectiveness on processing multi-GNSSs.

【 授权许可】

Unknown