Correction of the tropospheric slant path delay of Tiangong-2 Interferometric Imaging Radar Altimeter

  • role: First author第一作者
  • Affiliation:

    CAS Key Laboratory of Microwave Remote Sensing, National Space Science Center, Beijing 100190, China

    University of Chinese Academy of Science, Beijing 100049, China

  • Email:chenjiehaojane@foxmail.com
  • Introduction:陈洁好,1994年生,女,硕士研究生,研究方向为雷达信号处理、数据挖掘与分析。E-mail:chenjiehaojane@foxmail.com
CHEN Jiehao12,  
  • role: Corresponding author通信作者
  • Affiliation:

    CAS Key Laboratory of Microwave Remote Sensing, National Space Science Center, Beijing 100190, China

    University of Chinese Academy of Science, Beijing 100049, China

  • Email:zhangyunhua@mirslab.cn
  • Introduction:张云华,1967年生,男,研究员,研究方向为微波遥感器、高分辨率雷达系统设计、信号处理、天线技术等。E-mail: zhangyunhua@mirslab.cn
ZHANG Yunhua12*,  
  • Affiliation:

    CAS Key Laboratory of Microwave Remote Sensing, National Space Science Center, Beijing 100190, China

DONG Xiao1

résumé

Launched on September 15, 2019, the Interferometric Imaging Radar Altimeter (InIRA) onboard the Chinese Tiangong-2 space laboratory is the first spaceborne interferometric radar altimeter that can obtain wide-swath ocean topography measurements by adopting small incidence angles from 1° to 8° with a short baseline. InIRA achieves various technological breakthroughs, meanwhile, it also brings some challenges in data processing because no radiometer is onboard the Tiangong-2 space laboratory. Considering signal path delays is a premise for InIRA to meet its geocoding and Sea Surface Height (SSH) measurement goals, a mathematical model-based method for tropospheric path delay correction should be developed. Unlike traditional nadir-looking altimeters, which only require the propagation delay related to the velocity variation along a line path, the Tiangong-2 InIRA must consider the additional bending of radio waves for its small incidence angles. In this study, a tropospheric slant path delay correction algorithm is developed using the ray-tracing technique based on Fermat’s principle and on the numeric weather model from the European Center for Medium-range Weather Forecasts. Two calibration campaigns are conducted in March 2017 and September 2018, which recorded 12 measurement data from 9 corner reflectors. Results show that the standard deviation of the residual error range after the tropospheric slant path delay correction is approximately 6.2 cm, which indicates that a centimeter-level range accuracy is realized. Therefore, the effectiveness and reliability of the proposed algorithm in different small incidence angles are validated.

mots-clés

Tiangong-2 Interferometric Imaging Radar Altimeter (InIRA);atmospheric path delay;slant path delay correction;Numeric Weather Model (NWM);bending of radio waves

References

  1. 1.
    Abdalla S. 2013. Evaluation of radar altimeter path delay using ECMWF pressure-level and model-level fields. A report for ESA contract 21519/08/ I-OL. European Centre for Medium Range Weather Forecasts: 1-4
  2. 2.
    Berrisford P, Dee D, Poli P, Brugge R, Fielding M, Fuentes M, Kållberg P W, Kobayashi S, Uppala S and Simmons A. 2011. The ERA-interim archive Version 2.0. European Centre for Medium-Range Weather Forecasts: 2-4
  3. 3.
    Chen Q M, Song S L and Zhu W Y. 2012. An analysis of the accuracy of zenith tropospheric delay calculated from ECMWF/NCEP data over Asian area. Chinese Journal of Geophysics, 55(5): 1541-1548
  4. 4.
    Choi J. 1996. Tropospheric effects of time delays and angle of arrivals in the low elevation angle for radiowave propagation//Proceedings of MILCOM '96 IEEE Military Communications Conference. McLean: IEEE: 1041-1044
  5. 5.
    CODE. 2012. Global ionosphere maps produced by CODE[EB/OL]. [2018-11-16].
  6. 6.
    Cong X Y, Balss U, Eineder M and Fritz T. 2012. Imaging geodesy - centimeter-level ranging accuracy with TerraSAR-X: an update. IEEE Geoscience and Remote Sensing Letters, 9(5): 948-952
  7. 7.
    Deng M J, Zhang G, Zhao R S, Li S N and Li J S. 2018. Application of the atmospheric delay correction model in YG-13A range calibration. Journal of Remote Sensing, 22(3): 373-380
  8. 8.
    Ding C B, Liu J Y, Lei B and Qiu X L. 2017. Preliminary exploration of systematic geolocation accuracy of GF-3 SAR satellite system. Journal of Radars, 6(1): 11-16
  9. 9.
    Dong X, Zhang Y H and Zhai W S. 2017. Design and algorithms of the Tiangong-2 interferometric imaging radar altimeter processor//Proceedings of Progress in Electromagnetics Research Symposium - Spring. St. Petersburg: IEEE: 3802-3803
  10. 10.
    Eineder M, Minet C, Steigenberger P, Cong X Y and Fritz T. 2011. Imaging geodesy - toward centimeter-level ranging accuracy with TerraSAR-X. IEEE Transactions on Geoscience and Remote Sensing, 49(2): 661-671
  11. 11.
    ITU. 2017. ITU-R P. 453-12 The radio refractive index: its formula and refractivity data. Geneva: ITU - Radiocommunication Sector: 2-3
  12. 12.
    Jehle M, Perler D, Small D, Schubert A and Meier E. 2008. Estimation of atmospheric path delays in TerraSAR-X data using models vs. measurements. Sensors, 8(12): 8479-8491
  13. 13.
    Pany T, Pesec P and Stangl G. 2001. Atmospheric GPS slant path delays and ray tracing through numerical weather models, a comparison. Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy, 26(3): 183-188
  14. 14.
    Xu Y S, Gao L and Zhang Y H. 2017. New generation altimetry satellite SWOT and its reference to China’s swath altimetrysatellite. Remote Sensing Technology and Application, 32(1): 84-94
  15. 15.
    Xu Z W, Wu J and Wu Z S. 2004. A survey of ionospheric effects on space-based radar. Waves in Random Media, 14(2): S189-S273
  16. 16.
    Yang Z Q, Chen X M and Zhao Z W. 2008. Empirical model for radio wave refractive error correction of troposphere. Chinese Journal of Radio Science, 23(3): 580-584
  17. 17.
    Zhang Y G, Jia Y J, Fan C Q, Zhang J and Lin M S. 2013. HY-2A satellite radar altimeter error correction algorithm and verification. Engineering Sciences, 15(7): 53-61
  18. 18.
    Zhang Y H, Jiang J S, Zhang H Y and Zhang D H. 2000. Spaceborne imaging altimeter for topographic mapping//Proceedings of IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Honolulu: IEEE: 2349-2351
  19. 19.
    Zhang Y H, Jiang J S, Zhang X K, Xu K, Yan J Y, Jiang C H and Lei L Q. 2003. Design and preliminary experiment of china imaging altimeter//Proceedings of the SPIE 4894, Microwave Remote Sensing of the Atmosphere and Environment III. Hangzhou: SPIE: 190-199
  20. 20.
    Zhang Y H, Zhang X K, Meng X, Luo W, Zhou Z X and Jiang J S. 2007. An interferometric imaging altimeter applied for both ocean and land observation//Proceedings of 2007 IEEE International Geoscience and Remote Sensing Symposium. Barcelona: IEEE: 3821-3824
  21. 21.
    Zhao T G. 2011. Tropospheric Modeling and Delay Error Analysis Based on the GNSS Signals. Harbin: Harbin Institute of Technology: 12-22

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