Advertisement

Tracking Inbound Enemy Missile for Interception from Target Aircraft Using Extended Kalman Filter

  • T. S. Gokkul Nath
  • P. SudheeshEmail author
  • M. Jayakumar
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 625)

Abstract

Breakthrough developments in missile guidance technology have made interception of inbound enemy missiles very difficult. Thus, it poses a huge risk and critically puts defensive capability of fighter aircrafts under test. This paper addresses the usage of Extended Kalman Filter (EKF) algorithm to estimate and track the location of inbound missile for interception by firing countermeasures. In this respect, prediction of the missile’s location and trajectory is essential to enable the countermeasures fired to intercept the Enemy’s missile accurately. Further, the proposed method can be used to alert the pilot regarding the inbound enemy missile and can be guided with various approaches to avoid or intercept it. EKF has been the best forecaster of the missile’s location and trajectory since it has been extensively used to track objects in 3-Dimensions and in Missile guidance. EKF developed in this paper provides satisfactory results with a miss rate of 2.1 % and with localization error of 1.2 %. Thus the proposed method can be used in fighter jets for interception of inbound enemy missiles. It can further be used to track enemy aircraft’s activity within the observed range.

Keywords

Extended Kalman filter Missile interception Proportional navigation guidance law Anti-ballistic missile 

References

  1. 1.
    Lin, Y.-p., Lin, C.-l., Suebsaiprom, P., Hsieh, S.-l.: Estimating evasive acceleration for ballistic targets using an extended state observer. IEEE Trans. Aerosp. Electron. Syst. 52(1), 337–349 (2016)CrossRefGoogle Scholar
  2. 2.
    Shtessel, Y.B., Shkolnikov, I.A., Levant, A.: Guidance and control of missile interceptor using second-order sliding modes. IEEE Trans. Aerosp. Electron. Syst. 45(1), 110–124 (2009)CrossRefGoogle Scholar
  3. 3.
    Ravindra, V., Bar-Shalom, Y., Gottesman, S.: Aim identification of missiles with a minimal parameter set. IEEE Trans. Aeros. Electron. Syst. 45(1), 405–414 (2009)CrossRefGoogle Scholar
  4. 4.
    Zhu, Z., Xu, D., Liu, J., Xia, Y.: Missile guidance law based on extended state observer. IEEE Trans. Ind. Electron. 60(12), 5882–5891 (2013)CrossRefGoogle Scholar
  5. 5.
    Zhurbal, A., Idan, M.: Effect of estimation on the performance of an integrated missile guidance and control system. IEEE Trans. Aerosp. Electron. Syst. 47(4), 2690–2708 (2011)CrossRefGoogle Scholar
  6. 6.
    Yuzhe, W., Xiaoping, S.: Adaptive two step method and its application in the interception of hypersonic random maneuvering target. In: 3rd International Symposium on Systems and Control in Aeronautics and Astronautics (ISSCAA-2010), pp. 512–517, 8 June 2010Google Scholar
  7. 7.
    Sadeghi, H., Poshtan, J., Montazeri, A.: A modified proportional guidance law for homming missiles by using of nonlinear filters. In: 5th International Symposium on Mechatronics and Its Applications, ISMA 2008, pp. 1–6, 27 May 2008Google Scholar
  8. 8.
    Li, L.Y., Liu, F.X., Mei, Y.Y.: Modeling and simulation system design of tactical ballistic missile interception based on UML. In: Fourth International Conference on Computational and Information Sciences (ICCIS), pp. 53–56, 17 August 2012Google Scholar
  9. 9.
    Jia, J., Peng, Z.: Modeling and optimization of cooperative interception and guidance allocation in multi-platform air defense. In: 34th Chinese Control Conference (CCC), pp. 2710–2714, 28 July 2015Google Scholar
  10. 10.
    Yang, G., Qinhe, G., Jian, X., Yukun, Q., Xiaoxiang, H.: Hypersonic vehicles against a guided missile: a defender triangle interception approach. In: IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), pp. 2506–2509, 8 August 2014Google Scholar
  11. 11.
    Poznyak, A.: Non-smooth missiles guidance: interceptor-defender scenario with uncertainties. In: 13th International Workshop on Variable Structure Systems (VSS), pp. 1–6, 29 June 2014Google Scholar
  12. 12.
    Fan, P.F., Liu, J.Q., Ouyang, Z.H.: Miss distance algorithm of terminal ship-to-air missile based on vector operation. In: IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), pp. 2572–2576, 8 August 2014Google Scholar
  13. 13.
    Johnson, P.A., Brien Jr., R.T.: An investigation of interceptor guidance methods through modelling and simulation. In: Thirty-Ninth Southeastern Symposium on System Theory(SSST’07), pp. 258–262, 4 March 2007Google Scholar
  14. 14.
    Palumbo, N.F., Blauwkamp, R.A., Lloyd, J.M.: Basic principles of homing guidance. Johns Hopkins APL Tech. Dig. 29(1), 25–41 (2010)Google Scholar
  15. 15.
    Nair, N., Sudheesh, P., Jayakumar, M.: 2-D tracking of objects using Kalman filter. In: International Conference on Circuit, Power and Computing Technologies (ICCPCT 2016) (2016)Google Scholar
  16. 16.
    Seshadri, V., Sudheesh, P., Jayakumar, M.: Tracking the variation of tidal stature using Kalman filter. In: International Conference on Circuit, Power and Computing Technologies (ICCPCT 2016) (2016)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringAmrita School of Engineering, Coimbatore, Amrita Vishwa Vidhyapeetham, Amrita UniversityCoimbatoreIndia

Personalised recommendations