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Title: ANTIJAMMING ANALYSIS OF POSITIONAL OBSERVATIONS
ANTIJAMMING ANALYSIS OF POSITIONAL OBSERVATIONS

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Z. Andreeva;A. Andreev;Y. Nefedyev
10.5593/sgem2020/2.1/s08.059
1314-2704
978-619-7603-06-4
English
20
2.1
Geoinformatics
This work focuses on the possibility of practical application of two approaches ? classic
least square method (LSM) and Huber?s M-estimator (HME) method ? to the analysis
of time series of celestial objects? measurements. Using those methods, the values of
dynamic selenophysical parameters were produced from the processing of observations
of Mosting A lunar crater in relation to the lunar limb. The reason for the use of the two
approaches ? LSM and HME ? at observations processing is that LSM in some cases
does not allow eliminating erroneous observations from the analysis. The presence of
such observations might lead to unreliable estimates of desired parameters. In this
paper, we therefore applied HME method that allows analyzing long-term time series of
observations and assessing desired parameters most plausible with considering the
impact from the erroneous observations on final results. An advantage of HME method
compared to the other ones of robust analysis is that it is simple and reliable. HME
method had previously shown good results at processing of observations that contain
many erroneous measurements. The use of the two methods ? LSM and HME ? is
justified by the fact that if the errors are normally distributed, parameters? estimates
produced from LSM and HME should coincide. The difference in the estimates points at
the presence of erroneous observations. In this paper, we obtained various estimates
when using LSM and HME. We may therefore conclude that the observations are not
equally accurate, and there are abnormal deviations from the normal distribution of
errors. In our case, the use of HME method provides more accurate estimates of the
desired parameters compared to LSM. As a result, the values of selenographic
parameters were obtained with the highest reliability of their estimates.
conference
https://www.sgem.org/index.php/jresearch-article?citekey=Andreeva20208457464
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20th International Multidisciplinary Scientific GeoConference SGEM 2020
20th International Multidisciplinary Scientific GeoConference SGEM 2020, 18 - 24 August, 2020
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; C
457-464
18 - 24 August, 2020
website
cdrom
7020
positional astrometry observations; selenophysical parameters; Huber M
estimator method