Automotive Radar Parameter Estimation for Cognitive Interference Mitigation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A methodology to estimate waveform parameters of unknown interfering signals and number of interfering sources within the field of view of victim radar (VR) is presented using real time measured data. On the basis of identified interference parameters, waveform parameters of VR can be cognitively adapted to mitigate interference using ‘sense and avoid’ approach.
Original languageEnglish
Title of host publication2022 19th European Radar Conference (EuRAD)
PublisherIEEE
Number of pages4
ISBN (Electronic)9782874870712
ISBN (Print)9781665458795
DOIs
Publication statusPublished - 25 Oct 2022
Event19th European Radar Conference (EuRAD 2022) - Milan, Italy
Duration: 28 Sept 202230 Sept 2022

Publication series

NameEuropean Radar Conference (EURAD)

Conference

Conference19th European Radar Conference (EuRAD 2022)
Abbreviated titleEuRAD 2022
Country/TerritoryItaly
CityMilan
Period28/09/2230/09/22

Bibliographical note

Acknowledgment:
This work is supported by Innovate UK grant 104526 and is part of "Co-existence Simulation MOdeling of Radars for Self-driving (COSMOS)" project. The authors would like to express gratitude to project partners – JLR and HORIBA MIRA for providing the test facilities to perform measurements.

Keywords

  • automotive radar
  • cognitive
  • interference
  • mitigation
  • parameter estimation

Fingerprint

Dive into the research topics of 'Automotive Radar Parameter Estimation for Cognitive Interference Mitigation'. Together they form a unique fingerprint.

Cite this