Automotive interference suppression in MIMO and phased array radar

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

doi:10.23919/EuRAD50154.2022.9784453

Automotive interference suppression in MIMO and phased array radar

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

This paper presents a novel comparison of spatial suppression of interference in an automotive MIMO and a traditional full phased array radar. Using the linearly constrained minimum variance technique, adaptive weights are determined where angle of arrival of target(s) and interferer(s) are specified as the constraints. It is identified that for well-separated targets and interferers, interference suppression in the spatial domain with a MIMO array might be effective and comparable in performance to a full phased array. However, for a close separation between the targets and interferers, which is a common automotive scenario, phased array outperforms a virtual MIMO array. A quantitative analysis is presented by computing interference angular resolution, and peak to side lobe ratio on the basis of spatial separation between targets and interferers.

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/EuRAD50154.2022.9784453
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

adaptive signal processing
interference suppression
MIMO radar
phased array
spatial filters

Access to Document

10.23919/EuRAD50154.2022.9784453

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{e86bd9e5ee2a41c79fd8341f00fee3f3,

title = "Automotive interference suppression in MIMO and phased array radar",

abstract = "This paper presents a novel comparison of spatial suppression of interference in an automotive MIMO and a traditional full phased array radar. Using the linearly constrained minimum variance technique, adaptive weights are determined where angle of arrival of target(s) and interferer(s) are specified as the constraints. It is identified that for well-separated targets and interferers, interference suppression in the spatial domain with a MIMO array might be effective and comparable in performance to a full phased array. However, for a close separation between the targets and interferers, which is a common automotive scenario, phased array outperforms a virtual MIMO array. A quantitative analysis is presented by computing interference angular resolution, and peak to side lobe ratio on the basis of spatial separation between targets and interferers.",

keywords = "adaptive signal processing, interference suppression, MIMO radar, phased array, spatial filters",

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

year = "2022",

month = jun,

day = "2",

doi = "10.23919/EuRAD50154.2022.9784453",

language = "English",

isbn = "9781665447232 (PoD)",

series = "European Radar Conference (EURAD)",

publisher = "IEEE",

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

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TY - GEN

T1 - Automotive interference suppression in MIMO and phased array radar

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 - 2022/6/2

Y1 - 2022/6/2

N2 - This paper presents a novel comparison of spatial suppression of interference in an automotive MIMO and a traditional full phased array radar. Using the linearly constrained minimum variance technique, adaptive weights are determined where angle of arrival of target(s) and interferer(s) are specified as the constraints. It is identified that for well-separated targets and interferers, interference suppression in the spatial domain with a MIMO array might be effective and comparable in performance to a full phased array. However, for a close separation between the targets and interferers, which is a common automotive scenario, phased array outperforms a virtual MIMO array. A quantitative analysis is presented by computing interference angular resolution, and peak to side lobe ratio on the basis of spatial separation between targets and interferers.

AB - This paper presents a novel comparison of spatial suppression of interference in an automotive MIMO and a traditional full phased array radar. Using the linearly constrained minimum variance technique, adaptive weights are determined where angle of arrival of target(s) and interferer(s) are specified as the constraints. It is identified that for well-separated targets and interferers, interference suppression in the spatial domain with a MIMO array might be effective and comparable in performance to a full phased array. However, for a close separation between the targets and interferers, which is a common automotive scenario, phased array outperforms a virtual MIMO array. A quantitative analysis is presented by computing interference angular resolution, and peak to side lobe ratio on the basis of spatial separation between targets and interferers.

KW - adaptive signal processing

KW - interference suppression

KW - MIMO radar

KW - phased array

KW - spatial filters

U2 - 10.23919/EuRAD50154.2022.9784453

DO - 10.23919/EuRAD50154.2022.9784453

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 -

Automotive interference suppression in MIMO and phased array radar

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Projects

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

Cite this