Baseline analysis and control of spaceborne repeat-pass InSAR based on relative orbital elements

  • role: First author第一作者
  • Affiliation:

    Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email:forzhangtao@163.com
  • Introduction:张涛,1989年生,男,博士,研究方向为InSAR处理理论与应用。E-mail: forzhangtao@163.com
ZHANG Tao134,  
  • Affiliation:

    Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

WAN Ling134,  
  • Affiliation:

    Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

LYU Xiaolei134,  
  • Affiliation:

    Science and Technology on Microwave Imaging, Beijing 100190, China

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

HONG Jun234

résumé

Spaceborne repeat-pass InSAR is suitable for various elevation surveying and deformation measurements under all weather conditions. A satellite’s orbit is used to determine the interferometric baseline, which is an important index of interferometry performance. Result shows that the interferometric baseline of GF-3 satellite is longer than state-of-the-art repeat-pass InSAR systems overseas. However, its stability must be improved. This study aims to obtain a stable baseline that satisfies the requirements of repeat pass InSAR systems by analyzing the relative orbit elements and maneuver control. In this study, we use the first track of observation as the reference trajectory calculate the change law of repeat-pass baseline based on the relative orbit elements of repeated observations and reference orbits. Then, we analyze the baseline for targets under different latitudes. Based on the change law of baseline, we use the maneuver to adjust the relative orbit elements and develop a control method to achieve a baseline state. A repeat-pass InSAR baseline motion model was established on the basis of relative orbital elements to obtain a precise relative orbit. Real data were used to verify the model. The cross-baseline error between real data and the model was less than 10 m when the update frequency of orbit parameters was 1 Hz. We calculated the maneuver quantities based on relative orbital elements and formulated a control strategy for a special baseline control task. The change law of repeat pass InSAR baseline in global observation is analyzed, and the baseline length at different latitudes is obtained through the existing orbit control method, thus providing the basis for baselines when observing in different regions. The baseline length model is verified on the basis of actual data, and the actual baseline motion is determined in accordance with the model analysis. Then, an adjustment model based on the difference of relative orbital elements is established, and a control strategy from the predicted baseline to the required baseline is developed. Through the analysis of this study, the lengths of different observed baselines can be predicted with the number of known orbital elements, and the control strategy is adopted to adjust the observation baseline to satisfy the demand.

mots-clés

repeat-pass InSAR;interferometry baseline;relative orbital elements;orbit control;GF-3

References

  1. 1.
    Cao X B, Zhang J X and Wang F. 2013. The Dynamics and Control of Spacecraft Formation Flying. Beijing: National Defence Industry Press
  2. 2.
    Clohessy W H. 1960. Terminal guidance system for satellite rendezvous. Journal of the Aerospace Sciences, 27(9): 653–658
  3. 3.
    Ilcev S D. 2010. Low earth orbits (LEO)//Proceedings of the 20th International Crimean Conference " Microwave and Telecommunication Technology”. Sevastopol, Ukraine: IEEE: 406-408 [DOI: 10.1109/CRMICO.2010.5632690]
  4. 4.
    Jarnagin M P. 1965. Expansions in Elliptic Motion. Washington: U. S. Nautical Almanac Office
  5. 5.
    Ju B, Chang X, Gu D F, Duan X J, Zhu J B and Wang Z M. 2017. Analysis and mitigation of the Center-of-Mass errors for InSAR baseline determination. Journal of Remote Sensing, 21(4): 558–565
  6. 6.
    Krieger G, Moreira A, Fiedler H, Hajnsek I, Werner M, Younis M and Zink M. 2007. TanDEM-X: a satellite formation for high-resolution SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 45(11): 3317–3341
  7. 7.
    McLeod I H, Cumming I G and Seymour M S. 1998. ENVISAT ASAR data reduction: impact on SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 36(2): 589–602
  8. 8.
    Montenbruck O, Kahle R, D’Amico S and Ardaens J S. 2008. Navigation and control of the TanDEM-X formation. The Journal of the Astronautical Sciences, 56(3): 341–357
  9. 9.
    Montenbruck O, Kirschner M and D’Amico S. 2004. E-/I-Vector Separation for GRACE Proximity Operations. DLR/German Space Operations Center, TN 04-08. GSOC
  10. 10.
    Naasz B J. 2002. Classical Element Feedback Control for Spacecraft Orbital Maneuvers. Blacksburg, VA: Virginia Polytechnic Institute and State University
  11. 11.
    Rodriguez-Cassola M, Prats P, Schulze D, Tous-Ramon N, Steinbrecher U, Marotti L, Nannini M, Younis M, López-Dekker P, Zink M, Reigber A, Krieger G and Moreira A. 2011. First bistatic spaceborne SAR experiments with TanDEM-X//Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium. Vancouver, BC, Canada: IEEE: 1393-1396 [DOI: 10.1109/igarss.2011.6049326]
  12. 12.
    Sedwick R and Schweighart S. 2001. Development and analysis of a high fidelity linearized J2 model for satellite formation flying//Proceedings of the AIAA Space 2001 Conference and Exposition. Albuquerque, NM, USA: AIAA [DOI: 10.2514/6.2001-4744]
  13. 13.
    Sengupta P and Vadali S R. 2007. Relative motion and the geometry of formations in keplerian elliptic orbits with arbitrary eccentricity. Journal of Guidance, Control, and Dynamics, 30(4): 953–964
  14. 14.
    Snoeij P, Geudtner D, Østergaard A, Navas-Traver I, Brown M, Rommen B, Bibby D, Torres R, Schwerdt M, Döring B, Zink M and Schrank D. 2012. Sentinel-1 in-orbit calibration plan//Proceedings of the 9th European Radar Conference. Amsterdam, Netherlands: IEEE: 334-336
  15. 15.
    Spurmann J and D’Amico S. 2011. Proximity operations of on-orbit servicing spacecraft using an eccentricity/inclination vector separation//Proceedings of the 22nd International Symposium on Spaceflight Dynamics. Sao Jose dos Campos, Brazil: DLR
  16. 16.
    Vaddi S S, Vadali S R and Alfriend K T. 2003. Formation flying: accommodating nonlinearity and eccentricity perturbations. Journal of Guidance, Control, and Dynamics, 26(2): 214–223
  17. 17.
    Zeng Q M, Zhu M and Jiao J. 2018. Key technical issues in seismic crustal deformation measurement by InSAR. Journal of Remote Sensing, 22(s1): 17–31

Lire l'article complet

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website