Adaptive Digital Beamforming for Radar Interference Mitigation

Anum Pirkani; Fatemeh Norouzian; Mikhail Cherniakov; Marina Gashinova

Adaptive Digital Beamforming for Radar Interference Mitigation

Anum Pirkani, Fatemeh Norouzian, Mikhail Cherniakov, Marina Gashinova

Electronic, Electrical and Systems Engineering

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

Abstract

Mutual interference between radars is one of the major obstacles currently faced by automotive industry towards the attainment of full vehicle autonomy. This paper presents an analysis and mitigation of interference in the spatial domain and evaluates its efficiency compared to the traditional mitigation techniques for various road scenarios and radar configurations. The performance metrics, including peak-to-highest side lobe levels and signal to interference plus noise ratio, have been assessed based on the angular separations between the target and interferers to highlight the cases where spatial domain mitigation might be suited.

Original language	English
Title of host publication	2024 International Radar Symposium (IRS)
Publisher	IEEE
Pages	12-17
Number of pages	6
ISBN (Electronic)	9788395602092
ISBN (Print)	9798350371109
Publication status	Published - 28 Aug 2024
Event	2024 International Radar Symposium, IRS 2024 - Wroclaw, Poland Duration: 2 Jul 2024 → 4 Jul 2024

Publication series

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

Conference

Conference	2024 International Radar Symposium, IRS 2024
Country/Territory	Poland
City	Wroclaw
Period	2/07/24 → 4/07/24

Bibliographical note

Publisher Copyright:
© 2024 Warsaw University of Technology.

Keywords

adaptive beamforming
interference suppression
peak to-highest sidelobe ratio
radar interference
signal to interference plus noise ratio
spatial domain

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering
Astronomy and Astrophysics
Instrumentation

Access to Document

https://ieeexplore.ieee.org/document/10644544Licence: None: All rights reserved

Sub-THz Radar sensing of the Environment for future Autonomous Marine platforms - STREAM
Gashinova, M. & Cherniakov, M.
Engineering & Physical Science Research Council
1/01/20 → 31/08/24
Project: Research Councils

Cite this

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title = "Adaptive Digital Beamforming for Radar Interference Mitigation",

abstract = "Mutual interference between radars is one of the major obstacles currently faced by automotive industry towards the attainment of full vehicle autonomy. This paper presents an analysis and mitigation of interference in the spatial domain and evaluates its efficiency compared to the traditional mitigation techniques for various road scenarios and radar configurations. The performance metrics, including peak-to-highest side lobe levels and signal to interference plus noise ratio, have been assessed based on the angular separations between the target and interferers to highlight the cases where spatial domain mitigation might be suited.",

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author = "Anum Pirkani and Fatemeh Norouzian and Mikhail Cherniakov and Marina Gashinova",

note = "Publisher Copyright: {\textcopyright} 2024 Warsaw University of Technology.; 2024 International Radar Symposium, IRS 2024 ; Conference date: 02-07-2024 Through 04-07-2024",

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T1 - Adaptive Digital Beamforming for Radar Interference Mitigation

AU - Pirkani, Anum

AU - Norouzian, Fatemeh

AU - Cherniakov, Mikhail

AU - Gashinova, Marina

PY - 2024/8/28

Y1 - 2024/8/28

N2 - Mutual interference between radars is one of the major obstacles currently faced by automotive industry towards the attainment of full vehicle autonomy. This paper presents an analysis and mitigation of interference in the spatial domain and evaluates its efficiency compared to the traditional mitigation techniques for various road scenarios and radar configurations. The performance metrics, including peak-to-highest side lobe levels and signal to interference plus noise ratio, have been assessed based on the angular separations between the target and interferers to highlight the cases where spatial domain mitigation might be suited.

AB - Mutual interference between radars is one of the major obstacles currently faced by automotive industry towards the attainment of full vehicle autonomy. This paper presents an analysis and mitigation of interference in the spatial domain and evaluates its efficiency compared to the traditional mitigation techniques for various road scenarios and radar configurations. The performance metrics, including peak-to-highest side lobe levels and signal to interference plus noise ratio, have been assessed based on the angular separations between the target and interferers to highlight the cases where spatial domain mitigation might be suited.

KW - adaptive beamforming

KW - interference suppression

KW - peak to-highest sidelobe ratio

KW - radar interference

KW - signal to interference plus noise ratio

KW - spatial domain

UR - http://www.scopus.com/inward/record.url?scp=85203670027&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85203670027

SN - 9798350371109

T3 - Proceedings International Radar Symposium

SP - 12

EP - 17

BT - 2024 International Radar Symposium (IRS)

PB - IEEE

T2 - 2024 International Radar Symposium, IRS 2024

Y2 - 2 July 2024 through 4 July 2024

ER -

Adaptive Digital Beamforming for Radar Interference Mitigation

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Projects

Sub-THz Radar sensing of the Environment for future Autonomous Marine platforms - STREAM

Cite this