CLC number: TP39; V19
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2019-06-11
Cited: 0
Clicked: 6552
Citations: Bibtex RefMan EndNote GB/T7714
Qiao Wang, Xiao-Jun Jin, Wei Zhang, Shi-Ming Mo, Zhao-Bin Xu, Zhong-He Jin. An online error calibration method for spaceflight TT&C systems based on LEO-ground DDGPS[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(6): 829-841.
@article{title="An online error calibration method for spaceflight TT&C systems based on LEO-ground DDGPS",
author="Qiao Wang, Xiao-Jun Jin, Wei Zhang, Shi-Ming Mo, Zhao-Bin Xu, Zhong-He Jin",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="20",
number="6",
pages="829-841",
year="2019",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1800308"
}
%0 Journal Article
%T An online error calibration method for spaceflight TT&C systems based on LEO-ground DDGPS
%A Qiao Wang
%A Xiao-Jun Jin
%A Wei Zhang
%A Shi-Ming Mo
%A Zhao-Bin Xu
%A Zhong-He Jin
%J Frontiers of Information Technology & Electronic Engineering
%V 20
%N 6
%P 829-841
%@ 2095-9184
%D 2019
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1800308
TY - JOUR
T1 - An online error calibration method for spaceflight TT&C systems based on LEO-ground DDGPS
A1 - Qiao Wang
A1 - Xiao-Jun Jin
A1 - Wei Zhang
A1 - Shi-Ming Mo
A1 - Zhao-Bin Xu
A1 - Zhong-He Jin
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 20
IS - 6
SP - 829
EP - 841
%@ 2095-9184
Y1 - 2019
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1800308
Abstract: To overcome the shortcomings of the traditional measurement error calibration methods for spaceflight telemetry, tracking and command (TT&C) systems, an online error calibration method based on low Earth orbit satellite-to-ground double- differential GPS (LEO-ground DDGPS) is proposed in this study. A fixed-interval smoother combined with a pair of forward and backward adaptive robust Kalman filters (ARKFs) is adopted to solve the LEO-ground baseline, and the ant colony optimization (ACO) algorithm is used to deal with the ambiguity resolution problem. The precise baseline solution of DDGPS is then used as a comparative reference to calibrate the systematic errors in the TT&C measurements, in which the parameters of the range error model are solved by a batch least squares algorithm. To validate the performance of the new online error calibration method, a hardware-in-the-loop simulation platform is constructed with independently developed spaceborne dual-frequency GPS receivers and a Spirent GPS signal generator. The simulation results show that with the fixed-interval smoother, a baseline estimation accuracy (RMS, single axis) of better than 10 cm is achieved. Using this DDGPS solution as the reference, the systematic error of the TT&C ranging system is effectively calibrated, and the residual systematic error is less than 5 cm.
[1]Blewitt G, 1989. Carrier phase ambiguity resolution for the Global Positioning System applied to geodetic baselines up to 2000 km. J Geophys Res Sol Earth, 94(B8): 10187-10203.
[2]Boehm J, Niell A, Tregoning P, et al., 2006. Global mapping function (GMF): a new empirical mapping function based on numerical weather model data. Geophys Res Lett, 33(7):L07304.
[3]Box GEP, Muller ME, 1958. A note on the generation of random normal deviates. Ann Math Stat, 29(2):610-611.
[4]Dorigo M, Maniezzo V, Colorni A, 1996. Ant system: optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern, 26(1):29-41.
[5]Gelb A, 1974. Applied Optimal Estimation. MIT Press, Cambridge, the UK.
[6]Jazaeri S, Amiri-Simkooei AR, Sharifi MA, 2013. Fast GNSS ambiguity resolution by ant colony optimisation. Surv Rev, 45(330):190-196.
[7]Kommuri SK, Defoort M, Karimi HR, et al., 2016. A robust observer-based sensor fault-tolerant control for PMSM in electric vehicles. IEEE Trans Ind Electron, 63(12):7671- 7681.
[8]Langer JV, Feess WA, Hanington KM, et al., 1994. RADCAL: precision orbit determination with a commercial grade GPS receiver. Proc National Technical Meeting of the Institute of Navigation, p.421-431.
[9]Li XB, Mo SF, Zhou KM, 2010. Fault detection for linear discrete time-varying systems. 49th IEEE Conf on Decision and Control, p.762-767.
[10]Li ZS, Liu M, Karimi HR, et al., 2013. Sampled-data control of spacecraft rendezvous with discontinuous Lyapunov approach. Math Probl Eng, 2013:814271.
[11]Lin SG, 2015. Assisted adaptive extended Kalman filter for low-cost single-frequency GPS/SBAS kinematic positioning. GPS Sol, 19(2):215-223.
[12]Liu DL, 2015. The Research on Methods and Key Technologies of Ship-Board Radar Detection Accuracy Calibration. PhD Thesis, Dalian Maritime University, Dalian (in Chinese).
[13]Liu H, Nassar S, El-Sheimy N, 2010. Two-filter smoothing for accurate INS/GPS land-vehicle navigation in urban centers. IEEE Trans Veh Technol, 59(9):4256-4267.
[14]Martin LK, Fisher NG, Jones WH, et al., 2011. Ho‘oponopono: a radar calibration CubeSat. 25th Annual AIAA/USU Conf on Small Satellites.
[15]Matias B, Oliveira H, Almeida J, et al., 2015. High-accuracy low-cost RTK-GPS for an unmanned surface vehicle. OCEANS-Genova, p.1-4.
[16]Niell AE, 1996. Global mapping functions for the atmosphere delay at radio wavelengths. J Geophys Res Sol Earth, 101(B2):3227-3246.
[17]Reimann M, Doerner K, Hartl RF, 2004. D-ants: savings based ants divide and conquer the vehicle routing problem. Comput Oper Res, 31(4):563-591.
[18]Saastamoinen J, 1972. Atmospheric correction for troposphere and stratosphere in radio ranging of satellites. 3rd Int Symp on the Use of Artificial Satellites for Geodesy.
[19]Socha K, Dorigo M, 2008. Ant colony optimization for continuous domains. Eur J Oper Res, 185(3):1155-1173.
[20]Švehla D, Rothacher M, 2003. CHAMP double-difference kinematic POD with ambiguity resolution. In: Reigber C, Lühr H, Schwintzer P (Eds.), First CHAMP Mission Results for Gravity, Magnetic and Atmospheric Studies. Springer Berlin Heidelberg, p.70-77.
[21]Takasu T, Yasuda A, 2008. Evaluation of RTK-GPS performance with low-cost single-frequency GPS receivers. Proc Int Symp on GPS/GNSS, p.852-861.
[22]Takasu T, Yasuda A, 2009. Development of the low-cost RTK-GPS receiver with an open source program package RTKLIB. Int Symp on GPS/GNSS.
[23]Teunissen P, Joosten P, Tiberius C, 2003. A comparison of TCAR, CIR and LAMBDA GNSS ambiguity resolution. Proc 15th Int Technical Meeting of the Satellite Division of the Institute of Navigation.
[24]Teunissen PJG, de Jonge PJ, Tiberius CCJM, 1997. Performance of the LAMBDA method for fast GPS ambiguity resolution. Navigation, 44(3):373-383.
[25]Verhagen S, Li BF, Teunissen PJG, 2013. Ps-LAMBDA: ambiguity success rate evaluation software for interferometric applications. Comput Geosci, 54:361-376.
[26]Wan N, Liu M, Karimi HR, 2014. Observer-based robust control for spacecraft rendezvous with thrust saturation. Abstr Appl Anal, 2014:710850.
[27]Xu GC, Xu Y, 2016. GPS: Theory, Algorithms and Applications (3rd Ed.). Springer, New York, USA.
[28]Yang YX, Gao WG, 2006. An optimal adaptive Kalman filter. J Geod, 80(4):177-183.
[29]Zhang HP, Ping JS, Zhu WY, et al., 2006. Brief review of the ionospheric delay models. Progr Astron, 24(1):16-26 (in Chinese).
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