1 Introduction
1.1 Related work
2 Methods
2.1 Single-system PPP algorithm based on parameter reduction
2.2 Multi-system fusion PPP algorithm based on parameter reduction
2.3 An adaptive PPP fusion algorithm based on posttesting error factor
3 Monitoring and analysis of GNSS time difference based on fusion PPP model
3.1 Concept of GNSS time difference and conventional monitoring methods
3.2 Concept of “pseudo-time difference” for navigation and positioning of users
3.3 Acquisition of pseudo-time difference based on fusion PPP technology
4 Experience
4.1 Comparison of operational efficiency
4.2 Static and dynamic accuracy test of fusion positioning
4.3 Short term stability of fusion PPP pseudo-time difference results
Station name | Receiver type | Station name | Receiver type |
---|---|---|---|
CAGZ | TPS E_GGD | PENC | LEICA CR × 1200 |
ONSA | JPS E_GGD | GANP | TRIMBLE NETR8 |
GLSV | NOV OEMV3 | GRAS | TRIMBLE NETR5 |
HERT | LEICA CR × 1200 | TLSE | TRIMBLE NETR9 |
JOZ2 | LEICA CR × 1200 | ZIM2 | TRIMBLE NETR5 |
LAMA | LEICA CR × 1200 | WTZZ | JAVAD TRE_G3TH |
MATE | LEICA CR × 1200 |
Station name | Receiver type | Mean | Standard deviation |
---|---|---|---|
CAGZ | TPS E_GGD | − 448.257 | 0.423 |
ONSA | JPS E_GGD | − 464.486 | 0.286 |
GLSV | NOV OEMV3 | − 348.679 | 1.123 |
HERT | LEICA CR × 1200 | − 337.857 | 0.546 |
JOZ2 | LEICA CR × 1200 | − 353.536 | 0.475 |
LAMA | LEICA CR × 1200 | − 345.758 | 0.389 |
MATE | LEICA CR × 1200 | − 333.689 | 0.732 |
PENC | LEICA CR × 1200 | −345.785 | 0.598 |
GANP | TRIMBLE NETR8 | − 374.537 | 0.694 |
GRAS | TRIMBLE NETR5 | − 375.974 | 0.645 |
TLSE | TRIMBLE NETR9 | − 364.876 | 0.432 |
ZIM2 | TRIMBLE NETR5 | − 384.438 | 0.564 |
WTZZ | JAVAD TRE_G3TH | − 398.343 | 0.654 |