Citation
Abstract
In radiometric very long baseline interferometry (VLBI), the tropospheric fluctuation of the refractivity alters the estimated parameters, e.g., baselines and radio source positions. To alleviate the effect of the tropospheric fluctuation on the estimated parameters, a covariance matrix based on atmospheric fluctuation theory may be used to weight the delay and delay-rate observables. In general, the application of this covariance matrix reduces the baseline-length scatter about a time-linear model of tectonic motion. This covariance matrix is a linear function of site-dependent Kolmogorov fluctuation coefficients C2. Here, a method is presented n for determining these coefficients from the VLBI data themselves in an iterative process of least-squares parameter estimation. A variant of this method also could be applied to Global Position System (GPS) data reduction.
Keywords
Details
- Volume
- 42-133
- Published
- May 15, 1998
- Pages
- 1–6
- File Size
- 267.0 KB