Projects per year
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 language | English |
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Title of host publication | 2022 19th European Radar Conference (EuRAD) |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Electronic) | 9782874870712 |
ISBN (Print) | 9781665458795 |
DOIs | |
Publication status | Published - 25 Oct 2022 |
Event | 19th European Radar Conference (EuRAD 2022) - Milan, Italy Duration: 28 Sept 2022 → 30 Sept 2022 |
Publication series
Name | European Radar Conference (EURAD) |
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Conference
Conference | 19th European Radar Conference (EuRAD 2022) |
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Abbreviated title | EuRAD 2022 |
Country/Territory | Italy |
City | Milan |
Period | 28/09/22 → 30/09/22 |
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.Projects
- 1 Finished
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CO-Existence Simulation MOdeling of Raders for Self-Driving - COSMOS
Gashinova, M. (Principal Investigator), Baker, C. (Researcher), Cherniakov, M. (Co-Investigator) & Windridge, D. (Co-Investigator)
1/01/19 → 31/03/21
Project: Other Government Departments