Skip to main content
Springer Nature Link
Log in

Bearing-Only and Bearing-Doppler Target Tracking Based on EKF

  • Conference paper
  • First Online:
E-Learning and Games (Edutainment 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11462))

Included in the following conference series:

  • 1399 Accesses

Abstract

According to the characteristics of underwater target tracking, extended Kalman filter (EKF) algorithm was applied to underwater bearing-only and bearing-Doppler non-maneuverable target tracking problem. EKF is recursive Bayesian filter algorithm based on the linearization of the nonlinearities in the target state and the measurement equations. To ensure the observability in passive target tracking, we use single maneuvering observer. The simulation results show the suitability and effectiveness of the EKF algorithm to the single non-maneuverable target.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Arulampalam, M.S., Ristic, B., Gordon, N., Mansell, T.: Bearings-only tracking of maneuvering targets using particle filters. EURASIP J. Appl. Sig. Process. 15, 2351–2365 (2004)

    MATH  Google Scholar 

  2. Ristic, B., Arulampalam, M.S.: Tracking a maneuvering target using angle-only measurements: algorithms and performance. Sig. Process. 83, 1223–1238 (2003)

    Article  Google Scholar 

  3. Foy, W.H.: Position-location solutions by Taylor series estimation. IEEE Trans. Aerosp. Electron. Syst. AES-12 2, 187–194 (1976)

    Article  Google Scholar 

  4. Hassab, J.C.: Passive tracking of a moving source by a single observer in shadow water. J. Sound Vib. 44, 127–145 (1976)

    Article  Google Scholar 

  5. Ristic, B., Arulampalam, M.S., Gordon, N.: Beyond the Kalman Filter. Artech House, Boston (2004)

    MATH  Google Scholar 

  6. Kalman, R.E.: A new approach to linear filtering and prediction problems. Trans ASME-J. Basic Eng. Autom. Control. 82, 35–45 (1960)

    Article  Google Scholar 

  7. Li, X.H., Baum, M., Willett, P.: Evaluation of the PMHT approach for passive radar tracking with unknown transmitter associations. In: Proceedings of 17th International Conference on Information Fusion, Salamanca, pp. 1–7 (2014)

    Google Scholar 

  8. Song, T.L.: Observability of target tracking with bearings only measurements. IEEE Trans. Aerosp. Electron. Syst. 32, 1468–1471 (1996)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Natural Science Foundation of China (grant No. 61703333) and the National Key Research and Development Program of China (grant No. 2017YFB1402103).

Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, 710048, China

    Xiaohua Li, Jiulong Zhang & Xiuxiu Li

  2. National University of Defense Technology, Changsha, 741200, China

    Chenxu Zhao

Authors
  1. Xiaohua Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chenxu Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jiulong Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiuxiu Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaohua Li .

Editor information

Editors and Affiliations

  1. Liverpool John Moores University, Liverpool, UK

    Abdennour El Rhalibi

  2. Hangzhou Normal University, Hangzhou, China

    Zhigeng Pan

  3. Xi’an University of Technology, Xi’an, China

    Haiyan Jin

  4. Hangzhou Normal University, Hangzhou, China

    Dandan Ding

  5. Pontificia Universidad Javeriana, Cali, Colombia

    Andres A. Navarro-Newball

  6. Xi’an University of Technology, Xi’an, China

    Yinghui Wang

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, X., Zhao, C., Zhang, J., Li, X. (2019). Bearing-Only and Bearing-Doppler Target Tracking Based on EKF. In: El Rhalibi, A., Pan, Z., Jin, H., Ding, D., Navarro-Newball, A., Wang, Y. (eds) E-Learning and Games. Edutainment 2018. Lecture Notes in Computer Science(), vol 11462. Springer, Cham. https://doi.org/10.1007/978-3-030-23712-7_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-23712-7_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23711-0

  • Online ISBN: 978-3-030-23712-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics