Doppler Beam Sharpening for Enhanced MIMO Imagery in the Presence of Automotive Interference

Anum Pirkani; Scott Cassidy; Fatemeh Norouzian; Marina Gashinova; Mike Cherniakov

doi:10.23919/EuRAD50154.2022.9784499

Doppler Beam Sharpening for Enhanced MIMO Imagery in the Presence of Automotive Interference

Anum Pirkani, Scott Cassidy, Fatemeh Norouzian, Marina Gashinova, Mike Cherniakov

Electronic, Electrical and Systems Engineering

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

Abstract

The application of Doppler beam sharpening (DBS) for enhanced imagery in a multiple-input, multiple-output radar is investigated for the first time as a technique to mitigate automotive radar interference. It is shown that DBS, in addition to improved cross-range resolution for more precise target detection, suppresses interference, with complete removal of interference in certain cases. A quantitative analysis of interference suppression as a function of the victim radar velocity, look angle and integration period is presented for various interference types, demonstrating the effectiveness of DBS with a minor software upgrade in the state-of-the-art automotive sensors.

Original language	English
Title of host publication	2021 18th European Radar Conference (EuRAD)
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9782874870651
ISBN (Print)	9781665447232 (PoD)
DOIs	https://doi.org/10.23919/EuRAD50154.2022.9784499
Publication status	Published - 2 Jun 2022
Event	18th European Radar Conference, EuRAD 2021 - London, United Kingdom Duration: 5 Apr 2022 → 7 Apr 2022

Publication series

Name	European Radar Conference (EURAD)

Conference

Conference	18th European Radar Conference, EuRAD 2021
Country/Territory	United Kingdom
City	London
Period	5/04/22 → 7/04/22

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.

Keywords

automotive applications
Doppler beam sharpening
interference suppression
MIMO radar

Access to Document

10.23919/EuRAD50154.2022.9784499

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

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title = "Doppler Beam Sharpening for Enhanced MIMO Imagery in the Presence of Automotive Interference",

abstract = "The application of Doppler beam sharpening (DBS) for enhanced imagery in a multiple-input, multiple-output radar is investigated for the first time as a technique to mitigate automotive radar interference. It is shown that DBS, in addition to improved cross-range resolution for more precise target detection, suppresses interference, with complete removal of interference in certain cases. A quantitative analysis of interference suppression as a function of the victim radar velocity, look angle and integration period is presented for various interference types, demonstrating the effectiveness of DBS with a minor software upgrade in the state-of-the-art automotive sensors.",

keywords = "automotive applications, Doppler beam sharpening, interference suppression, MIMO radar",

author = "Anum Pirkani and Scott Cassidy and Fatemeh Norouzian and Marina Gashinova and Mike Cherniakov",

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.; 18th European Radar Conference, EuRAD 2021 ; Conference date: 05-04-2022 Through 07-04-2022",

year = "2022",

month = jun,

day = "2",

doi = "10.23919/EuRAD50154.2022.9784499",

language = "English",

isbn = "9781665447232 (PoD)",

series = "European Radar Conference (EURAD)",

publisher = "IEEE",

booktitle = "2021 18th European Radar Conference (EuRAD)",

}

Pirkani, A, Cassidy, S, Norouzian, F , Gashinova, M & Cherniakov, M 2022, Doppler Beam Sharpening for Enhanced MIMO Imagery in the Presence of Automotive Interference. in 2021 18th European Radar Conference (EuRAD)., 9784499, European Radar Conference (EURAD), IEEE, 18th European Radar Conference, EuRAD 2021, London, United Kingdom, 5/04/22. https://doi.org/10.23919/EuRAD50154.2022.9784499

TY - GEN

T1 - Doppler Beam Sharpening for Enhanced MIMO Imagery in the Presence of Automotive Interference

AU - Pirkani, Anum

AU - Cassidy, Scott

AU - Norouzian, Fatemeh

AU - Gashinova, Marina

AU - Cherniakov, Mike

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 - 2022/6/2

Y1 - 2022/6/2

N2 - The application of Doppler beam sharpening (DBS) for enhanced imagery in a multiple-input, multiple-output radar is investigated for the first time as a technique to mitigate automotive radar interference. It is shown that DBS, in addition to improved cross-range resolution for more precise target detection, suppresses interference, with complete removal of interference in certain cases. A quantitative analysis of interference suppression as a function of the victim radar velocity, look angle and integration period is presented for various interference types, demonstrating the effectiveness of DBS with a minor software upgrade in the state-of-the-art automotive sensors.

AB - The application of Doppler beam sharpening (DBS) for enhanced imagery in a multiple-input, multiple-output radar is investigated for the first time as a technique to mitigate automotive radar interference. It is shown that DBS, in addition to improved cross-range resolution for more precise target detection, suppresses interference, with complete removal of interference in certain cases. A quantitative analysis of interference suppression as a function of the victim radar velocity, look angle and integration period is presented for various interference types, demonstrating the effectiveness of DBS with a minor software upgrade in the state-of-the-art automotive sensors.

KW - automotive applications

KW - Doppler beam sharpening

KW - interference suppression

KW - MIMO radar

U2 - 10.23919/EuRAD50154.2022.9784499

DO - 10.23919/EuRAD50154.2022.9784499

M3 - Conference contribution

SN - 9781665447232 (PoD)

T3 - European Radar Conference (EURAD)

BT - 2021 18th European Radar Conference (EuRAD)

PB - IEEE

T2 - 18th European Radar Conference, EuRAD 2021

Y2 - 5 April 2022 through 7 April 2022

ER -

Doppler Beam Sharpening for Enhanced MIMO Imagery in the Presence of Automotive Interference

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Projects

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

Cite this