Geophysical research: article

A.A. Golovan 1 M.N. Drobyshev 2 D.I. Smolyanov 2
1 Lomonosov Moscow State University, Moscow, Russia 2 Schmidt Institute of Physics of the Earth, Russian Academy of Sciences
Journal: Geophysical research
Tome: 23
Number: 4
Year: 2022
Pages: 23-35
UDK: 528:629.78; 519.65
DOI: 10.21455/gr2022.4-2
Full text
Keywords: navigation, global satellite navigation systems, raw processing of satellite measurements, GPS measurements, dual frequency receiver, airborne gravimetry, decomposed algorithm for processing.
Аnnotation: When conducting airborne gravimetric surveys, raw satellite navigation measurements (code, Doppler, carrier phase), recorded in parallel with measurements of other sensors of the gravimetric complex, largely ensure the accuracy of navigation solutions and gravimetric determinations. In airborne gravimetry, the differential mode of operation of global satellite navigation systems (GNSS) is usually used. The accuracy of GNSS positional solutions in the differential mode directly depends on the length of the baseline – the distance between the operational aircraft receiver and the base station. At the same time, the baseline during airborne gravimetric surveys can reach several hundred kilometers, which makes it difficult to reliably estimate the integer uncertainties of GNSS carrier phase measurements during processing. One of the possible ways to solve the noted problem of processing carrier phase measurements is to switch to absolute satellite measurements without involving information from base stations, but only with the processing of carrier phase measurements from an operational receiver. This raises the need for a reliable solution to the complex problem of estimating integer uncertainties (ambiguity) of carrier phase measurements against the background of simulated ionospheric and tropospheric delays. The paper presents a new decomposed algorithm for processing raw satellite measurements, including carrier phase measurements, which makes it possible to estimate integer uncertainties based on the representation of the traditional problem model in the form of a number of subtasks of lower dimension. In this case, in contrast to the traditional problem of estimating the entire set of integer uncertainties, in each subtask, only the own integer uncertainty of the carrier phase measurements of the corresponding satellite is subject to estimation. To test the proposed decomposed algorithm, a computer simulator of the problem was developed, including simulation of the movement of satellite constellations, raw satellite measurements, the trajectory of an object, etc. On the basis of modeling, it is shown that the presented algorithm for processing raw satellite measurements proved to be relevant and efficient in estimating the values of integer ncertainties. It seems to us that the potential development of the algorithm, both in the absolute and in the differential mode of GNSS operation, in the future will make
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