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Space infrared tracking of a hypersonic cruise vehicle using an adaptive scaling UKF

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Abstract

To perform surveillance of a hypersonic cruise vehicle (HCV), space-based infrared system is a reliable and feasible means, which has been putting on the schedule for providing positioning and tracking information of the high-altitude unmanned vehicles. In this paper, a space-based HCV tracking method based on infrared satellite constellation is proposed. The method contains three main parts: constellation coverage analysis, a bearing-only positioning algorithm, and a tracking algorithm. For target tracking, an adaptive scaling unscented Kalman filter (ASUKF) is applied for high estimation performance. Simulation results are presented to show the effectiveness of the method.

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References

  1. Li WJ, Yan SQ, Wang CL, Ouyang Y (2019) SBIRS: missions challenages and opportunities. In: Proceedings of IEEE International Conference on Cloud Computing and Big Data Analysis, Chengdu, China, pp 363–3679.

  2. Andreas NS (1997) Space-based infrared system (SBIRS) system of systems. In: 1997 IEEE Aerospace Conference Snowmass vol. 4. Aspen CO USA, pp 429-438

  3. Smith MS (2005) Military space programs: issues concerning DoD's SBIRS and STSS programs. AD Report

  4. Morgan BL (1999) Exploratory model analysis of the space based infrared system (SBIRS) low global scheduler problem. In: Master of Science in Operations Research, Naval Postgraduate School of United States

  5. Li JZ, Wu MQ, Li XY (2009) Two satellites positioning method of AGPS with Marquardt algorithm. J Beijing Univ Posts Telecommun 32(2):39–42

    Google Scholar 

  6. Li Z, Zhang H, Che H (2016) A new positioning method by two GNSS satellites and relative position constraint. In: 2016 IEEE Chinese Guidance Navigation and Control Conference (CGNCC), Nanjing, China, pp 681–686

  7. Li J (2010) Two satellites positioning algorithm based on AGPS system with two clock bias. In: 2010 2nd International Conference on Computer Engineering and Technology, Chengdu, China, pp V2–416–419.

  8. Fang H, Tian N, Wang Y, Zhou M, Haile MA (2018) Nonlinear bayesian estimation: from Kalman filtering to a broader horizon. IEEE/CAA J Automatica Sinica 5(2):401–417

    Article  MathSciNet  Google Scholar 

  9. Julier SJ, Uhlmann JK, Durrant-White HF (2000) A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Trans Autom Control 45(3):477–482

    Article  MathSciNet  Google Scholar 

  10. Dunik J, Simandl M, Straka O (2012) Unscented kalman filter: aspects and adaptive setting of scaling parameter. IEEE Trans Autom Control 57(9):2411–2416

    Article  MathSciNet  Google Scholar 

  11. Gustafsson F et al (2002) Particle filters for positioning, navigation, and tracking. IEEE Trans Signal Process 50(2):425–437

    Article  Google Scholar 

  12. Li XR, Jilkov VP (2010) Survey of maneuvering target tracking. Part II: motion models of ballistic and space targets. IEEE Trans Aerosp Electron Syst 46(1):96–119

    Article  Google Scholar 

  13. Song W, He J, Wu X (2013) On detecting and early-warning function simulation of STSS based on STK. In: Proceedings of the 32nd Chinese Control Conference, Xi'an, China, pp 8516–8520

  14. Li LG, Jing WX, Gao CS (2014) Tracking near space vehicle using early-warning satellite. Acta Aeronautica et Astronautica Sinica 35(1):105–115

    MathSciNet  Google Scholar 

  15. Xu B, Yang C, Pan Y (2015) Global neural dynamic surface tracking control of strict-feedback systems with application to hypersonic flight vehicle. IEEE Trans Neural Netw Learn Syst 26(10):2563–2575

    Article  MathSciNet  Google Scholar 

  16. Yang J, Li S, Sun C, Guo L (2013) Nonlinear-disturbance-observer-based robust flight control for airbreathing hypersonic vehicles. IEEE Trans Aerosp Electron Syst 49(2):1263–1275

    Article  Google Scholar 

  17. Sakai A, Kuroda Y (2010) Discriminatively trained unscented Kalman filter for mobile robot localization. Adv Mech Eng 1(3):153–161

    Google Scholar 

  18. Straka O, Duník JS (2011) Gaussian sum unscented Kalman filter with adaptive scaling parameters. In: Proceedings of 14th International Conference on Information Fusion, Chicago, IL, pp 1–8

  19. Fang X, Geng Y (2014) Simulations of spacecraft attitude control for tracking maneuvers with MATLAB and STK. In: 2014 IEEE International Conference on Information and Automation (ICIA), Hailar, China, pp 1160–1165

  20. Zhao Y, Li Y, Zhang Q (2020) Space coverage performance analysis and simulation for Track Sensors located on the STSS system. In: 2010 International Conference on Intelligent Control and Information Processing, Dalian, China, pp 501–505

  21. https://www.space-track.org/#/tle

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Acknowledgements

This work is supported by the Project of UESTC Scientific Research Training for Aerospace Future Talent (2019KY003).

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Authors and Affiliations

  1. Province Key Laboratory of Aircraft Swarm Intelligent Sensing and Cooperative Control, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Jiahui Liu, Qi Luo, Jiaxin Lou & Yuankai Li

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  1. Jiahui Liu
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  2. Qi Luo
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  3. Jiaxin Lou
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  4. Yuankai Li
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Correspondence to Yuankai Li.

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Liu, J., Luo, Q., Lou, J. et al. Space infrared tracking of a hypersonic cruise vehicle using an adaptive scaling UKF. AS 3, 287–296 (2020). https://doi.org/10.1007/s42401-020-00061-y

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  • DOI: https://doi.org/10.1007/s42401-020-00061-y

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