Partial Derivatives of Observational Function (GPS Observation Equations and Equivalence Properties)

Partial Derivatives of Geometric Path Distance with Respect to the State Vector (x, y, z, x, y, zi) of the GPS Receiver The signal transmitting path is described by (cf. Eqs. 4.3 and 4.6 in Chap. 4)

tmp2A1009_thumbtmp2A1010_thumb

where index k denotes the satellite, and the satellite coordinates are related to the signal emission timetmp2A1011_thumbi denotes the station, and the station coordinates are related to the signal reception timetmp2A1012_thumbThen one has


tmp2A1015_thumb

where the satellite state vector is related to the timetmp2A1016_thumband

tmp2A1018_thumb

Partial Derivatives of Geometric Path Distance with Respect to the State Vectortmp2A1020_thumbof the GPS Satellite Similar to above, one has

tmp2A1022_thumb

Partial Derivatives of the Doppler Observable with Respect to the Velocity Vector of the Station

The time differentiation of the geometric signal path distance can be derived as

tmp2A1023_thumb

then one has

tmp2A1024_thumb

Partial Derivatives of Clock Errors with Respect to the Clock Parameters

If the clock errors are modelled by Eq. 5.163 (cf. Sect. 5.5)

tmp2A1025_thumb

where i and k are the indices of the clock error parameters of the receiver and satellite, then one has

tmp2A1026_thumb

If the clock errors are modelled by Eq. 5.164 (cf. Sect. 5.5)

tmp2A1027_thumb

then

tmp2A1028_thumb

The above derivatives are valid for both the code and phase observable equations. For the Doppler observable, denote (cf. Eq. 6.3)

tmp2A1029_thumb

then for the clock error model of Eq. 6.22 one has

tmp2A1030_thumb

Partial Derivatives of Tropospheric Effects with Respect to the Tropospheric Parameters

If the tropospheric effects can be modelled by (cf. Sect. 5.2)

tmp2A1031_thumb

wheretmp2A1032_thumbis the tropospheric effect computed by using the standard tropospheric model,tmp2A1033_thumbare parameters of the tropospheric delay in path, zenith, azimuth directions, and F and Fc are the mapping and co-mapping functions discussed in Sect. 5.2. The derivatives with respect to the parameterstmp2A1036_thumbare then

tmp2A1038_thumb

Furthermore, if the tropospheric parameters are defined as a step function or first order polynomial (cf. Sect. 5.2) by

tmp2A1039_thumb

wheretmp2A1040_thumbare the beginning and the ending times of the GPS survey, andtmp2A1041_thumbis usually selected by two to four hours. Then one has

tmp2A1044_thumb

The azimuth dependency may be assumed to be (cf. Eq. 5.121)

tmp2A1045_thumb

where a is the azimuth, andtmp2A1046_thumbare called azimuth-dependent parameters. Then one gets

tmp2A1048_thumb

If parameterstmp2A1049_thumbare also defined as step functions or first order polynomials like Eq. 6.30, the partial derivatives can be obtained in a similar manner to Eq. 6.31.

Partial Derivatives of the Phase Observable with Respect to the Ambiguity Parameters

Depending on which scale one prefers, there is

tmp2A1051_thumb

Partial Derivatives of Tidal Effects with Respect to the Tidal Parameters

If the Earth tide model in Eqs. 5.147 and 5.149 are used, then the tidal effects can be generally written as

tmp2A1052_thumb

wheretmp2A1053_thumbare the coefficient functions, which are given in Sect. 5.4.2 in detail, andtmp2A1054_thumbare the love numbers and Shida number, respectively. Then one has

tmp2A1057_thumb

Ocean loading tide effects can be modelled as

tmp2A1058_thumb

wheretmp2A1059_thumbis the factor of the computed ocean loading effect vectortmp2A1060_thumb Then one has

tmp2A1063_thumb

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