SINR Improvement Across the Automotive Radar Signal Processing Chain

Anum Pirkani; Sukhjit Pooni; Scott Cassidy; Edward Hoare; Yang Xiao; Mike Cherniakov; Marina Gashinova

doi:10.23919/EuRAD54643.2022.9924759

SINR Improvement Across the Automotive Radar Signal Processing Chain

Anum Pirkani
, Sukhjit Pooni
, Scott Cassidy
, Edward Hoare
, Yang Xiao
, Mike Cherniakov
, Marina Gashinova

Electronic, Electrical and Systems Engineering

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

Abstract

A systematic analysis of signal to interference plus noise ratio (SINR) at each step of the signal processing chain of frequency modulated continuous wave based automotive radar is presented for the first time. Using the real-time measured data, SINR improvement after each processing stage of the victim receiver is quantified for various automotive sensor parameters and scenarios.

Original language	English
Title of host publication	2022 19th European Radar Conference (EuRAD)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	4
ISBN (Electronic)	9782874870712
ISBN (Print)	9781665458795 (PoD)
DOIs	https://doi.org/10.23919/EuRAD54643.2022.9924759
Publication status	Published - 25 Oct 2022
Event	19th European Radar Conference (EuRAD 2022) - Milan, Italy Duration: 28 Sept 2022 → 30 Sept 2022

Publication series

Name	European Radar Conference (EURAD)

Conference

Conference	19th European Radar Conference (EuRAD 2022)
Abbreviated title	EuRAD 2022
Country/Territory	Italy
City	Milan
Period	28/09/22 → 30/09/22

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. The authors would like to express gratitude to project partners – JLR and HORIBA MIRA for providing the test facilities to perform measurements.

Keywords

automotive radar
SINR
interference

Access to Document

10.23919/EuRAD54643.2022.9924759

CO-Existence Simulation MOdeling of Raders for Self-Driving - COSMOS
Gashinova, M. (Principal Investigator), Baker, C. (Researcher), Cherniakov, M. (Co-Investigator) & Windridge, D. (Co-Investigator)
Innovate UK
1/01/19 → 31/03/21
Project: Other Government Departments

Cite this

Pirkani, A., Pooni, S., Cassidy, S., Hoare, E., Xiao, Y., Cherniakov, M., & Gashinova, M. (2022). SINR Improvement Across the Automotive Radar Signal Processing Chain. In 2022 19th European Radar Conference (EuRAD) Article 9924759 (European Radar Conference (EURAD)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.23919/EuRAD54643.2022.9924759

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title = "SINR Improvement Across the Automotive Radar Signal Processing Chain",

abstract = "A systematic analysis of signal to interference plus noise ratio (SINR) at each step of the signal processing chain of frequency modulated continuous wave based automotive radar is presented for the first time. Using the real-time measured data, SINR improvement after each processing stage of the victim receiver is quantified for various automotive sensor parameters and scenarios.",

keywords = "automotive radar, SINR, interference",

author = "Anum Pirkani and Sukhjit Pooni and Scott Cassidy and Edward Hoare and Yang Xiao 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. The authors would like to express gratitude to project partners – JLR and HORIBA MIRA for providing the test facilities to perform measurements.; 19th European Radar Conference (EuRAD 2022), EuRAD 2022 ; Conference date: 28-09-2022 Through 30-09-2022",

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month = oct,

day = "25",

doi = "10.23919/EuRAD54643.2022.9924759",

language = "English",

isbn = "9781665458795 (PoD)",

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Pirkani, A, Pooni, S, Cassidy, S, Hoare, E, Xiao, Y, Cherniakov, M & Gashinova, M 2022, SINR Improvement Across the Automotive Radar Signal Processing Chain. in 2022 19th European Radar Conference (EuRAD)., 9924759, European Radar Conference (EURAD), Institute of Electrical and Electronics Engineers (IEEE), 19th European Radar Conference (EuRAD 2022), Milan, Italy, 28/09/22. https://doi.org/10.23919/EuRAD54643.2022.9924759

TY - GEN

T1 - SINR Improvement Across the Automotive Radar Signal Processing Chain

AU - Pirkani, Anum

AU - Pooni, Sukhjit

AU - Cassidy, Scott

AU - Hoare, Edward

AU - Xiao, Yang

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. The authors would like to express gratitude to project partners – JLR and HORIBA MIRA for providing the test facilities to perform measurements.

PY - 2022/10/25

Y1 - 2022/10/25

N2 - A systematic analysis of signal to interference plus noise ratio (SINR) at each step of the signal processing chain of frequency modulated continuous wave based automotive radar is presented for the first time. Using the real-time measured data, SINR improvement after each processing stage of the victim receiver is quantified for various automotive sensor parameters and scenarios.

AB - A systematic analysis of signal to interference plus noise ratio (SINR) at each step of the signal processing chain of frequency modulated continuous wave based automotive radar is presented for the first time. Using the real-time measured data, SINR improvement after each processing stage of the victim receiver is quantified for various automotive sensor parameters and scenarios.

KW - automotive radar

KW - SINR

KW - interference

U2 - 10.23919/EuRAD54643.2022.9924759

DO - 10.23919/EuRAD54643.2022.9924759

M3 - Conference contribution

SN - 9781665458795 (PoD)

T3 - European Radar Conference (EURAD)

BT - 2022 19th European Radar Conference (EuRAD)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 19th European Radar Conference (EuRAD 2022)

Y2 - 28 September 2022 through 30 September 2022

ER -

SINR Improvement Across the Automotive Radar Signal Processing Chain

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Projects

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

Cite this