08.06.2013 Views

Bernese GPS Software Version 5.0 - Bernese GNSS Software

Bernese GPS Software Version 5.0 - Bernese GNSS Software

Bernese GPS Software Version 5.0 - Bernese GNSS Software

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

11.3 Theory<br />

Table 11.1: Correlation of height estimation and troposphere parameter estimation and ratio<br />

between formal accuracy of height estimation with (σ1) and without (σ2)<br />

estimation of troposphere parameters as a function of cutoff angle. Homogeneous<br />

distribution of satellites above the elevation cutoff angle is assumed. See<br />

[Rothacher and Beutler, 1998].<br />

Elevation cutoff angle 30 25 20 15 10 5<br />

Correlation -0.985 -0.976 -0.964 -0.943 -0.907 -0.830<br />

σ1/σ2 31.2 20.6 13.8 9.2 6.1 3.9<br />

numbers for the correlation between troposphere zenith delay and station height estimates<br />

assuming a uniform distribution of the <strong>GNSS</strong> satellites over the sky above the cutoff angle.<br />

If this is not the case (e.g., due to presence of the “northern hole” resulting from the<br />

satellite’s orbital inclination of 55 o ) the numbers are even more dramatic [Rothacher and<br />

Beutler, 1998].<br />

Table 11.1 impressively shows that, if troposphere parameters and station height are estimated<br />

together (clock parameters have to be estimated in any case, in the double-difference<br />

processing mode they are estimated implicitly), the situation may be considerably improved<br />

by lowering the elevation cutoff angle, that is, by observing satellites close to the horizon.<br />

The correlations are decreased further by estimating one set of station coordinates over a<br />

longer time interval, e.g., several days by combining several sessions on the normal equation<br />

level (see Section 9.5).<br />

In summary, we may state that troposphere biases are orders of magnitude above the noise<br />

level of the phase observable. Their influence thus must be reduced to make full use of the<br />

accuracy of the observable by either of the following two methods:<br />

• Model tropospheric refraction without using the <strong>GNSS</strong> observable (e.g., by using<br />

ground meteorological measurements or water vapor radiometers).<br />

• Estimate troposphere parameters (e.g., zenith path delays) in the general <strong>GNSS</strong> parameter<br />

estimation process.<br />

Both methods are used today depending on the circumstances; for both methods there are<br />

options in the <strong>Bernese</strong> <strong>GPS</strong> <strong>Software</strong> <strong>Version</strong> <strong>5.0</strong> . Before discussing the options available,<br />

we briefly review some aspects of the theory.<br />

11.3 Theory<br />

Tropospheric refraction is the path delay caused by the neutral (non-ionized) part of the<br />

Earth’s atmosphere. The troposphere is a non-dispersive medium for radio waves up to<br />

frequencies of about 15 GHz (see, e.g., [Bauerˇsíma, 1983]). Tropospheric refraction is thus<br />

identical for both <strong>GNSS</strong> carriers, L1 and L2 (and both phase and code measurements – see<br />

Eqn. (2.34)). The tropospheric path delay ∆̺ is defined by<br />

<br />

∆̺ = (n − 1) ds = 10 −6<br />

<br />

N trop ds , (11.3)<br />

<strong>Bernese</strong> <strong>GPS</strong> <strong>Software</strong> <strong>Version</strong> <strong>5.0</strong> Page 241

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!