Abstract In this paper, based on the relative positioning model of BDS/GPS single-frequency tight combination, we propose a combination algorithm of Kalman filter and particle filter to estimate the differential inter-system bias (DISB) of BDS/GPS tightly combined, and then analyze the algorithm performance by contrast with Kalman filter algorithm using short baseline data. The results show that the integer part of the phase DISB can affect the estimation of the DISB fractional part by changing the single-differenced ambiguity of pivot satellite. Further, the DISB of the proposed algorithm estimation corrects the tight combination and can improve the reliability of ambiguity resolution and fixed solution precision. Fixed solution precision can be increased by 10%~20%.
TANG Weiming,LIU Qian,SHEN Mingxing et al. Estimation Algorithm and Performance Analysis of the Differential Inter-System Bias of BDS and GPS[J]. jgg, 2019, 39(1): 1-6.
TANG Weiming,LIU Qian,SHEN Mingxing et al. Estimation Algorithm and Performance Analysis of the Differential Inter-System Bias of BDS and GPS[J]. jgg, 2019, 39(1): 1-6.
