多机构比对融合的分布式InSAR编队星间基线确定

doi:10.7527/S1000-6893.2017.21187

Abstract

Abstract: Precise determination of the baseline of the distributed Interferometric Synthetic Aperture Radar (InSAR) satellite system is a prerequisite for completion of scientific missions; however, reliability of the baseline determination is often affected by some unfavorable factors, such as shorter continuous carrier phase tracking arcs of the satellite-borne Global Positioning System (GPS) receiver, few visible GPS satellites from formation flying satellites or low success rate of ambiguity resolution, and frequent orbit maneuvers. In this paper, we try to identify the time when the baseline accuracy is lower by inter-agency comparison, and to improve the accuracy and reliability of the baseline by inter-agency fusion. The GPS observation data of Gravity Recovery and Climate Experiment (GRACE) satellites are processed by the National University of Defense Technology (NDT) and Xi'an Research Institute of Surveying and Mapping (CHS) using different software packages and reduced-dynamic baseline solutions to guarantee independence of the generated baseline products. The results show that inter-agency comparison can be used to identify the time during which the accuracy of the baseline determined by one agency is lower than that of the other. A high consistency is found between results of the NDT and CHS, with Root Mean Square (RMS) being about 0.7, 0.9, 0.7 mm in the radial, along-track, and out-of-plane components, respectively. Around 97.86% of differences between the 3-dimensional GRACE relative position obtained from the NDT and CHS in is less than 2 mm, indicating that there is no obvious systematic deviation between them. Furthermore, it is shown that fusion of the baseline products of the two agencies can reduce the error of random fluctuations, with the precision validated by K/Ka-Band Ranging (KBR) observations of the fused baseline products being improved by 8.97% and 29.21% compared to the NDT and CHS products, respectively.

Key words: distributed InSAR, spacecraft formation flying, baseline determination, inter-agency, fusion

CLC Number:

V448

YI Bin, QIN Xianping, GU Defeng, JU Bing. Baseline determination for distributed InSAR satellite system using inter-agency comparison and fusion[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(1): 321187-321187.

References

[1] DAVID A. Gravity measurement:Amazing GRACE[J]. Nature, 2002, 416(6876):10-11.[2] MASSONNET D, ROSSI M, CARMONA C, et al. The displacement field of the landers earthquake mapped by radar interferometry[J]. Nature, 1993, 364:138-142.[3] TAPLEY B D, BETTADPUR S, RIES J C, et al. GRACE measurements of mass variability in the earth system[J]. Science, 2004, 305(5683):503-505.[4] MOREIRA A, KRIEGER G, HAJNSEK I, et al. TanDEM-X:A terraSAR-X add-on satellite for single-pass SAR interferometry[C]//2004 IEEE International Geoscience and Remote Sensing Symposium. Piscataway, NJ:IEEE Press, 2004:1000-1003.[5] ANTHES R A, BERNHARDT P A, CHEN Y, et al. The COSMIC/FORMOSAT-3 mission:Early results[J]. Bulletin of the American Meteorological Society, 2008, 89(3):313-333.[6] AMICO S D, ARDAENS J S, FLORIO S D. Autonomous formation flying based on GPS-PRISMA flight results[J]. Acta Astronautica, 2013, 82(1):69-79.[7] CHEN P, SHU L Z, DING R, et al. Kinematic single-frequency relative positioning for LEO formation flying mission[J]. GPS Solutions, 2015, 19(4):525-535.[8] 谷德峰. 分布式InSAR卫星系统空间状态的测量与估计[D]. 长沙:国防科学技术大学, 2009:89-114. GU D F. The spatial states measurement and estimation of distributed InSAR satellite system[D]. Changsha:National University of Defense Technology, 2009:89-114(in Chinese).[9] MONTENBRUCK O, WERMUTH M, KAHLE R. GPS based relative navigation for the TanDEM-X mission-first flight results[J]. Navigation, 2011, 58(4):293-304.[10] ANTONY J W, GONZALEZ J H, SCHWERDT M, et al. Results of the TanDEM-X baseline calibration[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3):1495-1501.[11] KROES R. Precise relative positioning of formation flying spacecraft using GPS[D]. Netherlands:Delft University of Technology, 2006:79-135.[12] KROES R, MONTENBRUCK O, BERTIGER W, et al. Precise GRACE baseline determination using GPS[J]. GPS Solutions, 2005, 9(1):21-31.[13] JÄGGI A, HUGENTOBLER U, BOCK H, et al. Precise orbit determination for GRACE using undifferenced or doubly differenced GPS data[J]. Advances in Space Research, 2007, 39(10):1612-1619.[14] YOON Y, MONTENBRUCK O, KIRSCHNER M. Precise maneuver calibration for remote sensing satellites[C]//19th International Symposium on Space Flight Dynamics, 2006.[15] JU B, GU D F, HERRING T A, et al. Precise orbit and baseline determination for maneuvering low earth orbiters[J]. GPS Solutions, 2015, 21(1):1-12.[16] ALLENDE-ALBA G, MONTENBRUCK O. Robust and precise baseline determination of distributed spacecraft in LEO[J]. Advances in Space Research, 2015, 57(1):46-63.[17] JÄGGI A, MONTENBRUCK O, MOON Y, et al. Inter-agency comparison of TanDEM-X baseline solutions[J]. Advances in Space Research, 2012, 50(2):260-271.[18] LIU J H, GU D F, JU B, et al. Basic performance of BeiDou-2 navigation satellite system used in LEO satellites precise orbit determination[J]. Chinese Journal of Aeronautics, 2014, 27(5):1251-1258.[19] 秦显平. 星载GPS低轨卫星定轨理论及方法研究[D]. 郑州:解放军信息工程大学, 2009:125-135. QIN X P. Research on precision orbit determination theory and method of low earth orbiter based on GPS technique[J]. Zhengzhou:PLA Information Engineering University, 2009:125-135(in Chinese).[20] MAO X, VISSER P N A M, VAN DEN IJSSEL J. Impact of GPS antenna phase center and code residual variation maps on orbit and baseline determination of GRACE[J]. Advances in Space Research, 2017, 59(12):2987-3002.[21] GU D F, JU B, LIU J H, et al. Enhanced GPS-based GRACE baseline determination by using a new strategy for ambiguity resolution and relative phase center variation corrections[J]. Acta Astronautica, 2017, 138:176-184.[22] WERMUTH M, MONTENBRUCK O, WENDLEDER A. Relative navigation for the TanDEM-X mission and evaluation with DEM calibration results[C]//22nd International Symposium on Spaceflight Dynamics, 2011.

Baseline determination for distributed InSAR satellite system using inter-agency comparison and fusion

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