Skip to main content
SpringerLink
Log in

Randomized multimodel multiple hypothesis tracking

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Bar-Shalom Y. Multitarget-Multisensor Tracking: Advanced Applications. Norwood: Artech House, 1990

    Google Scholar 

  2. Zhu Y M. Multisensor Decision and Estimation Fusion. Norwell: Kluwer Academic Publishers, 2003

    Book  Google Scholar 

  3. Vo B N, Mallick M, Bar-Shalom Y, et al. Multitarget Tracking. Weinheim: Wiley, 2015

    Book  Google Scholar 

  4. Xi L L, Peng Z H, Jiao L, et al. Smooth quadrotor trajectory generation for tracking a moving target in cluttered environments. Sci China Inf Sci, 2021, 64: 172209

    Article  MathSciNet  Google Scholar 

  5. Yong K N, Chen M, Wu Q X. Noncertainty-equivalent observer-based noncooperative target tracking control for unmanned aerial vehicles. Sci China Inf Sci, 2022, 65: 152202

    Article  MathSciNet  Google Scholar 

  6. Poore A B. Multidimensional assignment formulation of data association problems arising from multitarget and multisensor tracking. Comput Optim Applic, 1994, 3: 27–57

    Article  MathSciNet  MATH  Google Scholar 

  7. de Koning W L. Optimal estimation of linear discrete-time systems with stochastic parameters. Automatica, 1984, 20: 113–115

    Article  MATH  Google Scholar 

  8. Gan D, Xie S Y, Liu Z X. Stability of the distributed Kalman filter using general random coefficients. Sci China Inf Sci, 2021, 64: 172204

    Article  MathSciNet  Google Scholar 

  9. Bar-Shalom Y, Li X R, Kirubarajan T. Estimation With Applications to Tracking and Navigation: Theory Algorithms and Software. Hoboken: John Wiley & Sons, 2004

    Google Scholar 

Download references

Acknowledgements

This work was supported in part by Sichuan Youth Science and Technology Innovation Team (Grant Nos. 2022JDTD0014, 2021JDJQ0036). The authors would like to thank Yunmin ZHU, Pramod K. VARSHNEY, Junfeng WANG, Yi ZHANG, and Yiwei LIAO for helpful suggestions.

Author information

Authors and Affiliations

  1. School of Mathematics, Sichuan University, Chengdu, 610064, China

    Haiqi Liu, Xiaojing Shen & Zhiguo Wang

  2. School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin, 644000, China

    Fanqin Meng

Authors
  1. Haiqi Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaojing Shen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhiguo Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fanqin Meng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaojing Shen.

Additional information

Supporting information

Appendixes A–E. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, H., Shen, X., Wang, Z. et al. Randomized multimodel multiple hypothesis tracking. Sci. China Inf. Sci. 66, 199203 (2023). https://doi.org/10.1007/s11432-022-3639-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-022-3639-y

Search

Navigation