Skip to main content
Springer Nature Link
Log in

Radar Adaptive Sidelobe Cancellation Technique Based on Spatial Filtering

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

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

  • 171 Accesses

Abstract

The electromagnetic environment of radar operation is increasingly complex, and active interference will have a great impact on radar performance. Side-lobe cancellation technology is an effective means to eliminate interference by auxiliary antennas. This paper introduces an adaptive beamforming algorithm to form the cancellation weight based on the secondary antenna. The weight convergence speed of several algorithms is analyzed, and the cancellation ability is analyzed, and a normalized least mean square algorithm is proposed.

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. Kulpa JS, Maslikowski L (2017) Filter-based design of noise radar waveform with reduced side-lobes. IEEE Trans Aerosp Electron Syst 1–1

    Google Scholar 

  2. Pengliang Y, Chenjiang G, Qi Z et al (2018) Sidelobe suppression with constraint for MIMO radar via chaotic whale optimisation. Electron Lett 54(5):311–313

    Article  Google Scholar 

  3. Benesty J, Cohen I, Chen J (2017) Adaptive beamforming. Fundamentals of signal enhancement and array signal processing. Wiley, Singapore

    Book  Google Scholar 

  4. Sibei C, Qingjun Z, Mingming B et al (2018) An improved adaptive received beamforming for nested frequency offset and nested array FDA-MIMO Radar. Sensors 18(2):520

    Article  Google Scholar 

  5. Elisa G, Piotr S, Maria-Pilar JA et al (2018) Recent advances in array antenna and array signal processing for radar. Int J Antennas Propag 2018:1–2

    Google Scholar 

  6. Cheng S, Wei Y, Chen Y et al (2017) A universal modified LMS algorithm with iteration order hybrid switching. ISA Trans 67(Complete):67–75

    Google Scholar 

  7. Horowitz L, Blatt H, Brodsky WG et al (1979) Controlling adaptive antenna arrays with the sample matrix inversion algorithm. Aerosp Electron Syst IEEE Trans AES-15(6):840–848

    Google Scholar 

  8. Nazareth JL (2009) Conjugate gradient method. Wiley Interdisc Rev Comput Stat 1(3):348–353

    Article  Google Scholar 

  9. Jo SE, Kim SW (2005) Consistent normalized least mean square filtering with noisy data matrix. IEEE Trans Signal Process 53(6):2112–2123

    Article  MathSciNet  Google Scholar 

  10. Sahu R, Mohan MR, Sharma MS (2013) Performance analysis of LMS Adaptive beamforming algorithm

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Nanjing Research Institute of Electronics Technology, Nanjing, China

    Yumeng Zhang, Jinliang Dong & Huifang Dong

Authors
  1. Yumeng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jinliang Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Huifang Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yumeng Zhang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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

Zhang, Y., Dong, J., Dong, H. (2020). Radar Adaptive Sidelobe Cancellation Technique Based on Spatial Filtering. 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_30

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-9409-6_30

  • 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