Skip to main content
SpringerLink
Log in

Experimental Study on Target Localization for DTMB-Based Passive Bistatic Radar

  • Conference paper
  • First Online:
Artificial Intelligence for Communications and Networks (AICON 2021)

  • 1074 Accesses

Abstract

This paper introduces the target localization experiment using the digital television terrestrial broadcasting (DTMB) signal. Firstly, the feasibility and advantages of DTMB signal as an external illumination source signal are analyzed. Then the ambiguity function of DTMB signal is analyzed, as well as its distance and Doppler resolution. ECA algorithm is introduced to suppress direct wave and multipath clutter. In order to obtain the positioning results of target, the array antenna is used as the direction-finding antenna to measure the azimuth angle of target. Finally, the target localization experiment based on DTMB signal is designed, and the localization information of target is determined by combining the actual position of TV Tower and receiver in two dimensions.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Howland, P.E.: Target tracking using television-based bistatic radar. 146(3), 166–174 (1999)

    Google Scholar 

  2. Griffiths, H.D., Long, N.R.W.: Television-based bistatic radar. IEE Proc. F-Commun. Radar Signal Process. 133(7), 649–657 (2008)

    Google Scholar 

  3. Howland, P.E., Maksimiuk, D., Reitsma, G.: FM radio based bistatic radar. IEE Proc. Radar Sonar Navig. 152(3), 107–115 (2005)

    Google Scholar 

  4. Tan, D., Lu, K.P., et al.: Passive radar using Global System for Mobile communication signal: theory, implementation and measurements. 152(3), 116–123 (2005)

    Google Scholar 

  5. Wang, J., Yang, Z.X., Pan, C.Y., et al.: Iterative padding subtraction of the PN sequence for the TDS-OFDM over broadcast channels. IEEE Trans. Consum. Electron. 51(4), 1148–1152 (2005)

    Article  Google Scholar 

  6. Sun, Z., Wang, T., Jiang, T., et al.: Analysis of the properties of DVB-S signal for passive radar application. In: International Conference on Wireless Communications & Signal Processing, pp. 1–5. IEEE (2013)

    Google Scholar 

  7. Wan, X.R.: An overview on development of passive radar based on the low frequency band digital broadcasting and TV signals. J. Radars 1(2), 109–123 (2012). (in Chinese)

    Google Scholar 

  8. Cardinali, R., Colone, F., Ferretti, C., et al.: Comparison of clutter and multipath cancellation techniques for passive radar. 469–474 (2007)

    Google Scholar 

  9. So, C.F., Ng, S.C., Leung, S.H.: RLS lattice algorithm using gradient based variable forgetting factor. In: IEEE, pp. 1168–117 (2003)

    Google Scholar 

  10. Ansari, F., Taban, M.R.: Implementation of sequential algorithm in batch processing for clutter and direct signal cancellation in passive bistatic radars. In: Electrical Engineering, pp. 1–6. IEEE (2013)

    Google Scholar 

  11. Meller, M.: Cheap cancellation of strong echoes for digital passive and noise radars. IEEE Trans. Signal Process. 60(5), 2654–2659 (2012)

    Article  MathSciNet  Google Scholar 

  12. Colone, F., O’Hagan, D.W., Lombardo, P., et al.: A multistage processing algorithm for disturbance removal and target detection in passive bistatic radar. IEEE Trans. Aerosp. Electron. Syst. 45(2), 698–722 (2009)

    Article  Google Scholar 

  13. Saini, R., Cherniakov, M.: DTV signal ambiguity function analysis for radar application. 152(3), 133–142 (2005)

    Google Scholar 

  14. Xu, Y.J., Tao, R., Wang, Y., et al.: Using LMS adaptive filter in direct wave cancellation. J. Beijing Inst. Technol. (Engl. Ed.) 12(4), 425–428 (2003)

    Google Scholar 

  15. Dhiman, J., Ahmad, S., Gulia, K.: Comparison between Adaptive filter Algorithms (LMS, NLMS and RLS) (2013)

    Google Scholar 

  16. Lee, J.H., Woo, J.M.: Interferometer direction-finding system with improved df accuracy using two different array configurations. IEEE Antennas Wirel. Propag. Lett. 14, 719–722 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Science and Technology on Communication Information Security Control Laboratory, Jiaxing, 314033, China

    Jiachuan Qian & Huijie Zhu

  2. The 36th Research Institute of China Electronics Technology Group Corporation, Jiaxing, 314033, China

    Jiachuan Qian & Huijie Zhu

  3. Huaxin Consulting and Designing Institute Co., Ltd., Hangzhou, China

    Haijie Li

Authors
  1. Jiachuan Qian
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Haijie Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Huijie Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jiachuan Qian .

Editor information

Editors and Affiliations

  1. The University of Western Ontario, London, ON, Canada

    Xianbin Wang

  2. University College London, London, UK

    Kai-Kit Wong

  3. Qinghai University for Nationalities, Xining, China

    Shanji Chen

  4. Xidian University, Xi'an, China

    Mingqian Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Qian, J., Li, H., Zhu, H. (2021). Experimental Study on Target Localization for DTMB-Based Passive Bistatic Radar. In: Wang, X., Wong, KK., Chen, S., Liu, M. (eds) Artificial Intelligence for Communications and Networks. AICON 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 396. Springer, Cham. https://doi.org/10.1007/978-3-030-90196-7_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-90196-7_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90195-0

  • Online ISBN: 978-3-030-90196-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation