This paper proposes a baseline constrained PPP method to enhance the performance. The approach is based on constrained Kalman filter, and applied to BeiDou PPP in static, pseudo-kinematic, real kinematic modes. Both zero baseline and short baseline constrained PPP are verified in static mode, while a marine geodesy environment is designed to evaluate the performance in kinematic mode. The experiment results show that, compared to the PPP without constraint, the baseline constrained PPP can significantly improve the positional accuracy. Furthermore, the accuracy of baseline constrained static PPP can reach centimetre level, while the kinematic PPP can reach decimetre level.

本文提出了一种基线约束的PPP方法来提高性能。该方法基于约束卡尔曼滤波器，并以静态，伪运动，真实运动模式应用于北斗PPP。零基线和短基线约束的PPP都在静态模式下进行了验证，而海洋大地测量环境旨在评估运动模式下的性能。实验结果表明，与无约束的PPP相比，基线约束的PPP可以显着提高定位精度。此外，基线约束静态PPP的精度可以达到厘米级，而运动学PPP可以达到分米级。