Skip to main content

Algorithm for Multipath Interference Restraint Based on Blind Source Separation in Passive GNSS-Based Bistatic Radar

  • Conference paper
  • First Online:
IoT as a Service (IoTaaS 2020)

Abstract

Passive bistatic radar belongs to passive radar systems and is a variant of bistatic radar that exploit non-cooperative‘illuminators of opportunity’ as their sources of radar transmission. Passive bistatic radar has a lot of advantages such as double-base system, silent acceptance, inherently low cost and so on, and hence attractive for a broad range of applications in recent years. The Passive GNSS-Based bistatic Radar system exploits Global Navigation Satellite System as the illuminators of opportunity to detect the potential targets and is inevitable affected by multipath interference due to the reflection effect of mountains and near-earth buildings. If reference signal containing multipath interference is directly used for matching filter processing, the range-Doppler diagram will show the false target formed by matching multipath interference with echo signal. In this paper, a novel blind source separation method is proposed to recovering multipath interference from reference channel data in Passive GNSS-Based bistatic Radar. The elementary reflection matrix is used as a rotation matrix to transform the cumulant matrix to realize the purpose of diagonalization. Finally the direct wave signal and multipath interference signals were separated successfully. Both theoretical analysis and simulation result verify multipath interference can be well suppressed by the proposed method.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Guo, S., Wang, J., Chen, G., Wang, J.: Method for multipath interference restraint of the reference channel in passive bistatic radar. J. XIDIAN Uni. 45(3), 18–23 (2018)

    Google Scholar 

  2. Colone, F., Bongioanni, C., Lombardo, P.: Multifrequency integration in FM radio-based passive bistatic radar. Part I: target detection. IEEE Aerosp. Electron. Syst. Mag. 28(4), 28–39 (2013)

    Article  Google Scholar 

  3. Colone, F., Bongioanni, C., Lombardo, P.: Multifrequency integration in FM radio-based passive bistatic radar. Part II: target detection of arrival estimation. IEEE Aerosp. Electron. Syst. Mag. 28(4), 40–47 (2013)

    Article  Google Scholar 

  4. Edrich, M., Schroeder, A., Meyer, F.: Design and performance evaluation of a mature FM/DAB/DVB-T multi-illuminator passive radar system. IET Radar Sonar Navig. 8(2), 114–122 (2014)

    Article  Google Scholar 

  5. Howland, P.E.: Editorial: passive radar systems. IEE Proc. Radar Sonar Navig. 152(3), 105–106 (2005)

    Article  Google Scholar 

  6. Griffiths, H.D., Baker, C.J.: Passive coherent location radar systems. Part 1: Performance predication. IEE Proc. Radar Sonar Navig. 152(3), 153–159 (2005)

    Article  Google Scholar 

  7. Poulin, D.: Passive detection using digital broadcasters (DAB, DVB) with COFDM modulation. IEE Proc. Radar Sonar Navig. 152(3), 143–152 (2005)

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  9. Nordwall, B.D.: Silent Sentry-A New Type of Radar. Aviation Week & Space Technology (1998)

    Google Scholar 

  10. Wen, Y., Sun, W., Shang, S.: Weak signal extraction based on blind source separation in passive radar. In: 2019 International Symposium on Signal Processing, pp. 26–30 (2019)

    Google Scholar 

  11. Griffiths, H.D, Long, N.R.W: Television based bistatic radar. Radar Signal Process. 133(7), 649–657(1986)

    Google Scholar 

  12. Navstar IS-GPS-200E, Interface Specification, Science Applications International Corporation, El Segundo, CA, USA. Technical Report IRN-IS-200H-003 (2015)

    Google Scholar 

  13. Global Navigation Satellite System GLONASS Interface Control Document (Edition 5 .1), Russian Institute of Space Device Engineering, Nizhnyaya Salda, Russia (2008)

    Google Scholar 

  14. BeiDou Navigation Satellite System Signal in Space Interface Control Document, Open Service Signal (Version 2.0). China Satellite Navigation Office, Beijing, China, December 2013

    Google Scholar 

  15. Galileo Open Service, Signal in Space Interface Control Document (OS SIS ICD). European Space Agency/European GNSS, Paris, France, November 2015

    Google Scholar 

  16. Pastina, D., Santi, F., Pieralice, F.: Maritime moving target long time integration for GNSS-based passive bistatic radar. IEEE Trans. Aerosp. Electron. Syst. 54(6), 3060–3083 (2018)

    Article  Google Scholar 

  17. Colone, F., Cardinali, R., Lombardo, P.: Cancellation of clutter and multipath in passive radar using a sequential approach. In: 2006 IEEE Conference on Radar, Verona (NY), USA, p. 7 (2006)

    Google Scholar 

  18. Tsai, P.H.E., Ebrahim, K., Lange, G., Paichard, Y., Inggs, M.: Null placement in a circular antenna array for passive coherent location systems. In: 2010 IEEE International Radar Conference, Washington, DC, USA, pp. 1140–1143 (2010)

    Google Scholar 

  19. Feng, B., Wang, T., Liu, C.: An effective CLEAN algorithm for interference cancellation and weak target detection in passive radar. In: 2013 Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), vol. 5, no. 2, pp. 160–163 (2013)

    Google Scholar 

  20. Fu, W., Zhou, X., Nong, B., Li, C., Liu, J.: Blind estimation of underdetermined mixing matrix based on density measurement. Wireless Pers. Commun. 104(4), 1283–1300 (2018). https://doi.org/10.1007/s11277-018-6080-z

    Article  Google Scholar 

  21. Li, C., Zhu, L., Xie, A., Luo, Z.: Blind separation of weak object signals against the unknown strong jamming in communication systems. Wireless Pers. Commun. 97(3), 4265–4283 (2017). https://doi.org/10.1007/s11277-017-4724-z

    Article  Google Scholar 

  22. Mohanaprasad, K., Singh, A., Sinha, K.: Noise reduction in speech signals using adaptive independent component analysis (ICA) for hands free communication devices. Int. J. Speech Technol. 3(22), 169–177 (2019)

    Article  Google Scholar 

  23. Liu, S., Gao, X., Qi, W.: Soft sensor modelling of propylene conversion based on a Takagi-Sugeno fuzzy neural network optimized with independent component analysis and mutual information. Trans. Inst. Measur. Control 41(3), 737–748 (2019)

    Article  Google Scholar 

  24. Rader, C., Steinhardt, A.: Hyperbolic householder transformations. IEEE Trans. Acoust. Speech Signal Process. 34, 1589–1602 (1986). Also in the SIAM Journal on Matrix Analysis and Applications 8(4), 1–5 (1988)

    Google Scholar 

  25. Li, Y., Wei, M., Zhang, F., Zhao, J.: Real structure-preserving algorithms of Householder based Transformations for quaternion matrices. J. Comput. Appl. Math. 305, 82–91 (2016)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuanyuan Wen .

Editor information

Editors and Affiliations

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

Wen, Y., Bai, L., Zhang, X., Shang, S., Song, D., Guo, S. (2021). Algorithm for Multipath Interference Restraint Based on Blind Source Separation in Passive GNSS-Based Bistatic Radar. In: Li, B., Li, C., Yang, M., Yan, Z., Zheng, J. (eds) IoT as a Service. IoTaaS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 346. Springer, Cham. https://doi.org/10.1007/978-3-030-67514-1_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-67514-1_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67513-4

  • Online ISBN: 978-3-030-67514-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics