ERS orbit and attitude modelling for interferometric applications
Giancarlo Rufino and
Antonio Moccia |
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Dipartimento di Scienza e Ingegneria dello Spazio "L.G. Napolitano",
Università di Napoli "Federico II", Piazzale Tecchio 80,
80125 Napoli, Italy
rufino@unina.it |
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Abstract
- This paper presents a procedure for the reconstruction of ERS-1
and ERS-2 orbital and attitude dynamics. The orbital motion of the satellite
centre of mass is obtained by means of polynomial least square approximation
of position and velocity vectors, which are supplied along with radar data.
The satellite attitude history is computed on the basis of the estimated
Doppler centroid frequencies. The clutterlock algorithm is applied to the
radar echoes to extract the near and far range Doppler centroid frequencies.
The computed values are filtered in order to reduce the effects of noise
and non-homogeneity of the scene. Then a simulation of spacecraft dynamics
is carried out. First of all the satellite is considered orbiting along
the previously computed path at its nominal attitude, which consists of
geodetic nadir pointing and yaw-steering. The corresponding near and far
range Doppler centroid frequencies are computed and compared to the previously
estimated values. An iterative method is applied to determine the perturbed
attitude. The procedure ends when the frequencies output of simulation
and the ones extracted by clutterlock are coincident. Since the Doppler
centroid frequencies are insensitive to roll rotations, provided that they
are negligible with respect to the antenna elevation main lobe, only yaw
and pitch perturbation can be modelled. This activity aims at the computation
of the SAR bidimensional impulse response, which takes account of the satellite
real dynamics during acquisition and is adopted for raw data focusing.
Finally, to validate the procedure ERS tandem raw data are processed and
the correlation coefficients are computed.
This research is being carried out under the sponsorship of the Italian
Space Agency (ASI). ESA has supplied the ERS tandem data within the project
AOT.I302.
Keywords: ESA European
Space Agency - Agence spatiale europeenne,
observation de la terre, earth observation,
satellite remote sensing,
teledetection, geophysique, altimetrie, radar,
chimique atmospherique, geophysics, altimetry, radar,
atmospheric chemistry
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