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Bernese GPS Software Version 5.0 - Bernese GNSS Software

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8. Initial Phase Ambiguities and Ambiguity Resolution<br />

p = (p1,... ,pu) ⊤ , the part of the solution vector consisting of all real-valued (doubledifference)<br />

ambiguities, where u is the number of double-difference ambiguities,<br />

Q the corresponding cofactor matrix, and<br />

σ 2 0 the a posteriori variance factor.<br />

From the a posteriori variance factor and the corresponding cofactor matrix the standard<br />

deviation mi for the ambiguity parameter pi or the standard deviation mij for the difference<br />

pij between two ambiguity parameters pi, pj may be computed:<br />

<br />

mi = σ0 Qii , mij = σ0 Qii − 2 · Qij + Qjj . (8.11)<br />

Choosing a confidence level α and using Student’s distribution we compute the upper and<br />

lower range-width ξ for the integer valued alternative parameter pAi or for the difference<br />

pAij between two such parameters. Thus<br />

pi − ξ · mi ≤ pAi ≤ pi + ξ · mi , i = 1,2,... ,u (8.12)<br />

pij − ξ · mij ≤ pAij ≤ pij + ξ · mij , i,j = 1,2,... ,u , i = j . (8.13)<br />

All possible combinations of integer values which meet the conditions (8.12) and (8.13) are<br />

used to form alternative ambiguity vectors<br />

p Ah, h = 1,... ,N<br />

to the initial ambiguity estimate p. These alternatives are generated in forming all possible<br />

combinations of vector components using the integer values within corresponding confidence<br />

ranges. Each of these alternative vectors is introduced into a subsequent adjustment. The<br />

integer ambiguities are treated in these adjustments as known quantities. The resulting<br />

standard deviations<br />

σh, h = 1,... ,N<br />

are indicators for the success of the process: the integer vector p h yielding the smallest<br />

standard deviation is selected as the final solution, unless<br />

(1) its standard deviation is not compatible with the standard deviation σ0 of the<br />

ambiguity-free solution (the fraction σh/σ0 is too high), or<br />

(2) there is another vector p q yielding an almost identical standard deviation (fraction<br />

σq / σh ≈ 1).<br />

The maximum allowed fraction (σh/σ0)max (“Maximum allowed rms ratio re fixed to float”) and<br />

the minimum discrimination fraction (σq/σh)min (“Minimum allowed rms ratio re 2nd best to<br />

best”) are input options in panel “<strong>GPS</strong>EST 3.2.1: General Search Ambiguity Resolution Strategy”<br />

(see Figure 8.6). In order to reduce the computation time and decrease the number of<br />

alternative vectors one more condition is introduced if both frequencies (L1 and L2) are<br />

processed. Using the geometry-free linear combination (see Section 2.3) we may write<br />

L4 ij<br />

kℓ + Iij<br />

kℓ<br />

<br />

1 − f2 1<br />

f 2 2<br />

<br />

= λ1p1 ij ij<br />

kℓ − λ2p2kℓ , (8.14)<br />

Page 174 AIUB

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