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Signal, Image and Video Processing

, Volume 13, Issue 1, pp 1–8 | Cite as

Waveform diversity for mutual interference mitigation in automotive radars under realistic traffic environments

  • Md Anowar HossainEmail author
  • Ibrahim Elshafiey
  • Abdulhameed Al-Sanie
Original Paper
  • 150 Downloads

Abstract

This paper presents a novel approach for mutual interference mitigation in automotive radars based on advanced waveform design by imposing time and frequency diversity to frequency modulated continuous wave (FMCW) chirp signal. Performance of the proposed waveform has been investigated using software-defined radio transceiver, and measurement results are provided. The system concept is validated by developed automotive radar channel model considering realistic 3D road traffic scenario using a ray-tracing tool. Theoretical analysis and simulation examples of mutual interference scenarios in automotive environment are provided to evaluate the effectiveness of the proposed method. Performance of both conventional FMCW waveform and proposed waveform under mutual interference environments has been provided for fair comparison. Results show that the proposed system is able to detect the targets of interest successfully while mitigates the false targets in mutual interference environments.

Keywords

Automotive radar Mutual interference Waveform diversity Frequency modulated continuous waveform (FMCW) 

Notes

Acknowledgements

This research is funded by the Deanship of Scientific Research and Research Center at the College of Engineering, King Saud University, Riyadh, Saudi Arabia.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Md Anowar Hossain
    • 1
    Email author
  • Ibrahim Elshafiey
    • 1
  • Abdulhameed Al-Sanie
    • 1
  1. 1.Electrical Engineering DepartmentKing Saud UniversityRiyadhSaudi Arabia

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