Statistical Analysis of Automotive Radar Interference

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

doi:10.1109/RadarConf2043947.2020.9266653

Statistical Analysis of Automotive Radar Interference

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

Electronic, Electrical and Systems Engineering

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

Abstract

This paper presents a statistical analysis of the radar detection characteristics of FMCW based automotive radar in the presence of FMCW interference. The characteristics of interference are investigated and compared with Gaussian noise by determining the distribution and probability of detection for different waveform parameters. The majority of cases show that interference in the victim receiver has a low correlation value and a probability density function close to a Gaussian distribution, with some specific cases demonstrating a sinusoidal distribution. The analysis is validated by experimental results for specific case performance in a controlled laboratory environment.

Original language	English
Title of host publication	2020 IEEE Radar Conference (RadarConf20)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	9781728189420
ISBN (Print)	9781728189437 (PoD)
DOIs	https://doi.org/10.1109/RadarConf2043947.2020.9266653
Publication status	Published - 4 Dec 2020
Event	2020 IEEE Radar Conference, RadarConf 2020 - Florence, Italy Duration: 21 Sept 2020 → 25 Sept 2020

Publication series

Name	Proceedings of the IEEE National Radar Conference
Publisher	IEEE
Volume	2020-September
ISSN (Print)	1097-5659
ISSN (Electronic)	2375-5318

Conference

Conference	2020 IEEE Radar Conference, RadarConf 2020
Country/Territory	Italy
City	Florence
Period	21/09/20 → 25/09/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

automotive interference
correlation
probability density function
probability of detection
statistical analysis

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/RadarConf2043947.2020.9266653

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)
TECHNOLOGY STRATEGY BOARD
1/01/19 → 31/03/21
Project: Other Government Departments

Cite this

Pirkani, A., Norouzian, F., Hoare, E., Gashinova, M., & Cherniakov, M. (2020). Statistical Analysis of Automotive Radar Interference. In 2020 IEEE Radar Conference (RadarConf20) Article 9266653 (Proceedings of the IEEE National Radar Conference; Vol. 2020-September). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/RadarConf2043947.2020.9266653

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title = "Statistical Analysis of Automotive Radar Interference",

abstract = "This paper presents a statistical analysis of the radar detection characteristics of FMCW based automotive radar in the presence of FMCW interference. The characteristics of interference are investigated and compared with Gaussian noise by determining the distribution and probability of detection for different waveform parameters. The majority of cases show that interference in the victim receiver has a low correlation value and a probability density function close to a Gaussian distribution, with some specific cases demonstrating a sinusoidal distribution. The analysis is validated by experimental results for specific case performance in a controlled laboratory environment.",

keywords = "automotive interference, correlation, probability density function, probability of detection, statistical analysis",

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

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year = "2020",

month = dec,

day = "4",

doi = "10.1109/RadarConf2043947.2020.9266653",

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Pirkani, A , Norouzian, F , Hoare, E , Gashinova, M & Cherniakov, M 2020, Statistical Analysis of Automotive Radar Interference. in 2020 IEEE Radar Conference (RadarConf20)., 9266653, Proceedings of the IEEE National Radar Conference, vol. 2020-September, Institute of Electrical and Electronics Engineers (IEEE), 2020 IEEE Radar Conference, RadarConf 2020, Florence, Italy, 21/09/20. https://doi.org/10.1109/RadarConf2043947.2020.9266653

Statistical Analysis of Automotive Radar Interference. / Pirkani, Anum ; Norouzian, Fatemeh ; Hoare, Edward et al.
2020 IEEE Radar Conference (RadarConf20). Institute of Electrical and Electronics Engineers (IEEE), 2020. 9266653 (Proceedings of the IEEE National Radar Conference; Vol. 2020-September).

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

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AU - Gashinova, Marina

AU - Cherniakov, Mike

PY - 2020/12/4

Y1 - 2020/12/4

N2 - This paper presents a statistical analysis of the radar detection characteristics of FMCW based automotive radar in the presence of FMCW interference. The characteristics of interference are investigated and compared with Gaussian noise by determining the distribution and probability of detection for different waveform parameters. The majority of cases show that interference in the victim receiver has a low correlation value and a probability density function close to a Gaussian distribution, with some specific cases demonstrating a sinusoidal distribution. The analysis is validated by experimental results for specific case performance in a controlled laboratory environment.

AB - This paper presents a statistical analysis of the radar detection characteristics of FMCW based automotive radar in the presence of FMCW interference. The characteristics of interference are investigated and compared with Gaussian noise by determining the distribution and probability of detection for different waveform parameters. The majority of cases show that interference in the victim receiver has a low correlation value and a probability density function close to a Gaussian distribution, with some specific cases demonstrating a sinusoidal distribution. The analysis is validated by experimental results for specific case performance in a controlled laboratory environment.

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KW - probability density function

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M3 - Conference contribution

AN - SCOPUS:85098591594

SN - 9781728189437 (PoD)

T3 - Proceedings of the IEEE National Radar Conference

BT - 2020 IEEE Radar Conference (RadarConf20)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2020 IEEE Radar Conference, RadarConf 2020

Y2 - 21 September 2020 through 25 September 2020

ER -

Statistical Analysis of Automotive Radar Interference

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Projects

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

Cite this