Skip to main content

A Dynamic Programming Based TBD Algorithm for Near Space Targets Under Range Ambiguity

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

  • 82 Accesses

Abstract

To address the problem of detection and tracking for the near-space weak targets under range ambiguity, an improved approach is proposed using Dynamic Programming (DP) within the track-before-detect (TBD) framework. Firstly, the target information is accumulated along the ambiguous tracks by the DP method, which can significantly improve the target SNR and realize the detection of ambiguous tracks. Secondly, all the ambiguous tracks are divided into different matching groups in according to the track information. Finally, target range is unfolded using one-dimensional set algorithm, and the real track can be realized by coordinate transform. Simulation results illustrate the effectiveness of this approach.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 629.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 799.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 799.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jiang B, Xu DZ, Shi P et al (2014) Adaptive neural observer-based back stepping fault tolerant control for near space vehicle under control effector damage. IET Trans Control Theory Appl 8(9):658–666

    Article  Google Scholar 

  2. Johnston LA, Krishnamurthy V (2002) Performance analysis of a dynamic programming track before detect algorithm. IEEE Trans Aerosp Electron Syst 38(1):228–242

    Article  Google Scholar 

  3. Li L, Wang GH, Yu HB et al (2016) A TBD algorithm for near space hypersonic target. Syst Eng Electron 38(4):420–427

    Google Scholar 

  4. Li YF, Wang GH, Zhang XY et al (2017) A hough transform TBD algorithm in three-dimensional space for hypersonic weak target under range ambiguity. J Astronaut 38(9):979–988

    Google Scholar 

  5. Wu W, Wang GH, Sun JP (2018) Polynomial radon-polynomial fourier transform for near space hypersonic maneuvering target detection. IEEE Trans Aerosp Electron Syst 54(3):1306–1322

    Article  Google Scholar 

  6. Yu XH, Chen XL, Huang Y et al (2019) Radar moving target detection in clutter background via adaptive dual-threshold sparse Fourier transform. IEEE Access 7:58200–58211

    Article  Google Scholar 

  7. Yu XH, Huang Y, Liu NB et al (2015) Radon-fractional ambiguity function-based detection method of low-observable maneuvering target. IEEE Trans Aerosp Electron Syst 51(2):815–833

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hongbo Yu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yu, H., Tan, S., Cao, Q., Zhang, X., Li, L., Guo, Q. (2020). A Dynamic Programming Based TBD Algorithm for Near Space Targets Under Range Ambiguity. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_120

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-9409-6_120

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics