Abstract:Tropospheric delay is one of the important factors that affect GPS short baseline resolution. When the height difference between stations is large, the spatial correlation of tropospheric delay is weak, and consequently cannot be eliminated by double difference treatment completely. This not only affects the precision of single session solution, but also leads to the error in the long-term span of time series observation and it affects the long-term linear speed estimation of measuring stations. To analyze the influence of estimation of tropospheric delay on time series of GPS short baseline with big height differences based on the wavelet analysis method, 5 pairs of short baselines from IGS stations are selected as the research objects and two different baseline solutions for data processing are used.The result shows that for the short baseline,if the height difference is more than 100 m, it will bring about spurious signals in height direction time series without the estimation of tropospheric delay,and the annual amplitude is up to 17.7 mm.The spurious signals aresignificantly reduced with tropospheric delay; in addition, it is found that there is some correlation between the zenith delay difference and the error in the elevation direction.
WANG Wei. Analysis on Influence of Tropospheric Delay on Short Baseline Time Series from GPS Stations with the Large Height Difference[J]. jgg, 2018, 38(5): 504-509.