Automotive Radar Waveform Parameters Randomisation for Interference Level Reduction

Fatemeh Norouzian; Anum Pirkani; Edward Hoare; Mike Cherniakov; Marina Gashinova

doi:10.1109/RadarConf2043947.2020.9266375

Automotive Radar Waveform Parameters Randomisation for Interference Level Reduction

Fatemeh Norouzian^*, Anum Pirkani, Edward Hoare, Mike Cherniakov, Marina Gashinova

^*Corresponding author for this work

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

With the rapid increase in the number of automotive radars on the road, interference becomes unavoidable. This paper analyses the effectiveness of dithering or randomization of FMCW modulation (applying random idle time jitter) on reducing interference. This analysis is undertaken for various interference scenarios and modelling-based results are compared. The results show that the efficiency of interference reduction by employing random idle time jitter strongly depend on the radar waveform parameters and the achievable reduction in interference level is in the range of 0 to 27 dB.

Original language	English
Title of host publication	2020 IEEE Radar Conference (RadarConf20)
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9781728189420
ISBN (Print)	9781728189437 (PoD)
DOIs	https://doi.org/10.1109/RadarConf2043947.2020.9266375
Publication status	Published - 4 Dec 2020
Event	2020 IEEE Radar Conference, RadarConf 2020 - Florence, Italy Duration: 21 Sept 2020 → 25 Sept 2020

Publication series

Name	Proceedings of the IEEE National Radar Conference
Publisher	IEEE
ISSN (Print)	1097-5659
ISSN (Electronic)	2375-5318

Conference

Conference	2020 IEEE Radar Conference, RadarConf 2020
Country/Territory	Italy
City	Florence
Period	21/09/20 → 25/09/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

automotive application
frequency modulation
interference
millimeter wave radar

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/RadarConf2043947.2020.9266375

CO-Existence Simulation MOdeling of Raders for Self-Driving - COSMOS
Gashinova, M., Baker, C., Cherniakov, M. & Windridge, D.
TECHNOLOGY STRATEGY BOARD
1/01/19 → 31/03/21
Project: Other Government Departments

Cite this

@inproceedings{89629047b27f48e6a3070d448830c872,

title = "Automotive Radar Waveform Parameters Randomisation for Interference Level Reduction",

abstract = "With the rapid increase in the number of automotive radars on the road, interference becomes unavoidable. This paper analyses the effectiveness of dithering or randomization of FMCW modulation (applying random idle time jitter) on reducing interference. This analysis is undertaken for various interference scenarios and modelling-based results are compared. The results show that the efficiency of interference reduction by employing random idle time jitter strongly depend on the radar waveform parameters and the achievable reduction in interference level is in the range of 0 to 27 dB.",

keywords = "automotive application, frequency modulation, interference, millimeter wave radar",

author = "Fatemeh Norouzian and Anum Pirkani and Edward Hoare and Mike Cherniakov and Marina Gashinova",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Radar Conference, RadarConf 2020 ; Conference date: 21-09-2020 Through 25-09-2020",

year = "2020",

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doi = "10.1109/RadarConf2043947.2020.9266375",

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series = "Proceedings of the IEEE National Radar Conference",

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booktitle = "2020 IEEE Radar Conference (RadarConf20)",

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Norouzian, F , Pirkani, A , Hoare, E , Cherniakov, M & Gashinova, M 2020, Automotive Radar Waveform Parameters Randomisation for Interference Level Reduction. in 2020 IEEE Radar Conference (RadarConf20)., 9266375, Proceedings of the IEEE National Radar Conference, IEEE, 2020 IEEE Radar Conference, RadarConf 2020, Florence, Italy, 21/09/20. https://doi.org/10.1109/RadarConf2043947.2020.9266375

TY - GEN

T1 - Automotive Radar Waveform Parameters Randomisation for Interference Level Reduction

AU - Norouzian, Fatemeh

AU - Pirkani, Anum

AU - Hoare, Edward

AU - Cherniakov, Mike

AU - Gashinova, Marina

PY - 2020/12/4

Y1 - 2020/12/4

N2 - With the rapid increase in the number of automotive radars on the road, interference becomes unavoidable. This paper analyses the effectiveness of dithering or randomization of FMCW modulation (applying random idle time jitter) on reducing interference. This analysis is undertaken for various interference scenarios and modelling-based results are compared. The results show that the efficiency of interference reduction by employing random idle time jitter strongly depend on the radar waveform parameters and the achievable reduction in interference level is in the range of 0 to 27 dB.

AB - With the rapid increase in the number of automotive radars on the road, interference becomes unavoidable. This paper analyses the effectiveness of dithering or randomization of FMCW modulation (applying random idle time jitter) on reducing interference. This analysis is undertaken for various interference scenarios and modelling-based results are compared. The results show that the efficiency of interference reduction by employing random idle time jitter strongly depend on the radar waveform parameters and the achievable reduction in interference level is in the range of 0 to 27 dB.

KW - automotive application

KW - frequency modulation

KW - interference

KW - millimeter wave radar

UR - http://www.scopus.com/inward/record.url?scp=85098552496&partnerID=8YFLogxK

U2 - 10.1109/RadarConf2043947.2020.9266375

DO - 10.1109/RadarConf2043947.2020.9266375

M3 - Conference contribution

AN - SCOPUS:85098552496

SN - 9781728189437 (PoD)

T3 - Proceedings of the IEEE National Radar Conference

BT - 2020 IEEE Radar Conference (RadarConf20)

PB - IEEE

T2 - 2020 IEEE Radar Conference, RadarConf 2020

Y2 - 21 September 2020 through 25 September 2020

ER -

Automotive Radar Waveform Parameters Randomisation for Interference Level Reduction

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Projects

CO-Existence Simulation MOdeling of Raders for Self-Driving - COSMOS

Cite this