Analysis of automotive radar interference in spatial domain

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

doi:10.23919/IRS51887.2021.9466171

Analysis of automotive radar interference in spatial domain

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

Electronic, Electrical and Systems Engineering

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

Abstract

Mutual interference between automotive radars is a major obstacle currently faced by manufacturers in the widescale deployment of these radars. A thorough understanding of interference behaviour along the signal processing stages of victim radar's receiver is essential to devise robust interference detection and mitigation strategies. This paper aims at investigating the behaviour of various types of FMCW automotive interferences in the spatial domain. An extensive analysis of interference using experimentally verified modelling results, after fast-time Fourier transform and beamforming at the receiver is performed in the presented details.

Original language	English
Title of host publication	2021 21st International Radar Symposium (IRS)
Publisher	IEEE
Number of pages	8
ISBN (Electronic)	9783944976310, 9783944976303 (USB)
ISBN (Print)	9781665439213 (PoD)
DOIs	https://doi.org/10.23919/IRS51887.2021.9466171
Publication status	Published - 2 Jul 2021
Event	21st International Radar Symposium, IRS 2021 - Berlin, Germany Duration: 21 Jun 2021 → 22 Jun 2021

Publication series

Name	Proceedings International Radar Symposium
Publisher	IEEE
ISSN (Print)	2155-5745
ISSN (Electronic)	2155-5753

Conference

Conference	21st International Radar Symposium, IRS 2021
Country/Territory	Germany
City	Berlin
Period	21/06/21 → 22/06/21

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.

Keywords

Fourier transforms
Chirp
Array signal processing
MIMO radar
Interference
Radar
Receivers

Access to Document

10.23919/IRS51887.2021.9466171

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{0216af34bfb2435da93645fe23e59a27,

title = "Analysis of automotive radar interference in spatial domain",

abstract = "Mutual interference between automotive radars is a major obstacle currently faced by manufacturers in the widescale deployment of these radars. A thorough understanding of interference behaviour along the signal processing stages of victim radar's receiver is essential to devise robust interference detection and mitigation strategies. This paper aims at investigating the behaviour of various types of FMCW automotive interferences in the spatial domain. An extensive analysis of interference using experimentally verified modelling results, after fast-time Fourier transform and beamforming at the receiver is performed in the presented details.",

keywords = "Fourier transforms, Chirp, Array signal processing, MIMO radar, Interference, Radar, Receivers",

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

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.; 21st International Radar Symposium, IRS 2021 ; Conference date: 21-06-2021 Through 22-06-2021",

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doi = "10.23919/IRS51887.2021.9466171",

language = "English",

isbn = "9781665439213 (PoD)",

series = "Proceedings International Radar Symposium",

publisher = "IEEE",

booktitle = "2021 21st International Radar Symposium (IRS)",

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TY - GEN

T1 - Analysis of automotive radar interference in spatial domain

AU - Pirkani, Anum

AU - Norouzian, Fatemeh

AU - Hoare, Edward

AU - Cherniakov, Mike

AU - Gashinova, Marina

N1 - 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.

PY - 2021/7/2

Y1 - 2021/7/2

N2 - Mutual interference between automotive radars is a major obstacle currently faced by manufacturers in the widescale deployment of these radars. A thorough understanding of interference behaviour along the signal processing stages of victim radar's receiver is essential to devise robust interference detection and mitigation strategies. This paper aims at investigating the behaviour of various types of FMCW automotive interferences in the spatial domain. An extensive analysis of interference using experimentally verified modelling results, after fast-time Fourier transform and beamforming at the receiver is performed in the presented details.

AB - Mutual interference between automotive radars is a major obstacle currently faced by manufacturers in the widescale deployment of these radars. A thorough understanding of interference behaviour along the signal processing stages of victim radar's receiver is essential to devise robust interference detection and mitigation strategies. This paper aims at investigating the behaviour of various types of FMCW automotive interferences in the spatial domain. An extensive analysis of interference using experimentally verified modelling results, after fast-time Fourier transform and beamforming at the receiver is performed in the presented details.

KW - Fourier transforms

KW - Chirp

KW - Array signal processing

KW - MIMO radar

KW - Interference

KW - Radar

KW - Receivers

U2 - 10.23919/IRS51887.2021.9466171

DO - 10.23919/IRS51887.2021.9466171

M3 - Conference contribution

SN - 9781665439213 (PoD)

T3 - Proceedings International Radar Symposium

BT - 2021 21st International Radar Symposium (IRS)

PB - IEEE

T2 - 21st International Radar Symposium, IRS 2021

Y2 - 21 June 2021 through 22 June 2021

ER -

Analysis of automotive radar interference in spatial domain

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Projects

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

Cite this