Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy

Cristian A. Alistarh; Symon K. Podilchak; George Goussestis; John S. Thompson; Jaesup Lee

doi:10.1109/ANTEM.2018.8572959

Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy

Cristian A. Alistarh, Symon K. Podilchak, George Goussestis, John S. Thompson, Jaesup Lee

School of Engineering

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

Abstract

This paper presents a novel technique for improving radar accuracy. In particular, by studying the product of multiple radar beam pattern spectrums from different radar sub-module views, a refined and improved total radar response can be obtained. We examine this radar signal processing approach using a 24GHz frequency-modulated continuous wave (FMCW) radar system equipped with broadband 1.5GHz substrate integrated waveguide (SIW) antenna arrays to ensure high range resolution. The transmitter is defined by 4 sawtooth signals generated by separated radar sub-modules, each having a multiple input multiple output (MIMO) configuration with 4 receivers at each radar submodule. The measured spectral multiplication of the individual radar sub-modules results in a signal quality improvement of more than 10dB when compared to a MIMO radar configuration with the same architecture.

Original language	English
Title of host publication	2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)
Place of Publication	United States
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	978-1-5386-1338-2
DOIs	https://doi.org/10.1109/ANTEM.2018.8572959
Publication status	Published - 13 Dec 2018
Event	2018 18th International Symposium on Antenna Technology and Applied Electromagnetics - University of Waterloo, Waterloo, Canada Duration: 19 Aug 2018 → 22 Aug 2018 http://antem.ee.umanitoba.ca/

Publication series

Name	International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)
Publisher	IEEE
ISSN (Print)	2380-8616
ISSN (Electronic)	2473-3555

Conference

Conference	2018 18th International Symposium on Antenna Technology and Applied Electromagnetics
Abbreviated title	ANTEM
Country/Territory	Canada
City	Waterloo
Period	19/08/18 → 22/08/18
Internet address	http://antem.ee.umanitoba.ca/

Keywords / Materials (for Non-textual outputs)

Automotive
Digital Beamforming
FMCW radar
MIMO
SIW antenna

Access to Document

10.1109/ANTEM.2018.8572959

Cite this

Alistarh, C. A., Podilchak, S. K., Goussestis, G., Thompson, J. S., & Lee, J. (2018). Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy. In 2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM) (International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ANTEM.2018.8572959

Alistarh, Cristian A. ; Podilchak, Symon K. ; Goussestis, George et al. / Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy. 2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM). United States : Institute of Electrical and Electronics Engineers, 2018. (International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)).

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title = "Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy",

abstract = "This paper presents a novel technique for improving radar accuracy. In particular, by studying the product of multiple radar beam pattern spectrums from different radar sub-module views, a refined and improved total radar response can be obtained. We examine this radar signal processing approach using a 24GHz frequency-modulated continuous wave (FMCW) radar system equipped with broadband 1.5GHz substrate integrated waveguide (SIW) antenna arrays to ensure high range resolution. The transmitter is defined by 4 sawtooth signals generated by separated radar sub-modules, each having a multiple input multiple output (MIMO) configuration with 4 receivers at each radar submodule. The measured spectral multiplication of the individual radar sub-modules results in a signal quality improvement of more than 10dB when compared to a MIMO radar configuration with the same architecture.",

keywords = "Automotive, Digital Beamforming, FMCW radar, MIMO, SIW antenna",

author = "Alistarh, {Cristian A.} and Podilchak, {Symon K.} and George Goussestis and Thompson, {John S.} and Jaesup Lee",

note = "Acceptance date set to exclude from REF OA Policy; 2018 18th International Symposium on Antenna Technology and Applied Electromagnetics , ANTEM ; Conference date: 19-08-2018 Through 22-08-2018",

year = "2018",

month = dec,

day = "13",

doi = "10.1109/ANTEM.2018.8572959",

language = "English",

series = "International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)",

address = "United States",

url = "http://antem.ee.umanitoba.ca/",

}

Alistarh, CA, Podilchak, SK, Goussestis, G, Thompson, JS & Lee, J 2018, Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy. in 2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM). International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), Institute of Electrical and Electronics Engineers, United States, 2018 18th International Symposium on Antenna Technology and Applied Electromagnetics , Waterloo, Ontario, Canada, 19/08/18. https://doi.org/10.1109/ANTEM.2018.8572959

Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy. / Alistarh, Cristian A.; Podilchak, Symon K.; Goussestis, George et al.
2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM). United States: Institute of Electrical and Electronics Engineers, 2018. (International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)).

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

TY - GEN

T1 - Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy

AU - Alistarh, Cristian A.

AU - Podilchak, Symon K.

AU - Goussestis, George

AU - Thompson, John S.

AU - Lee, Jaesup

N1 - Acceptance date set to exclude from REF OA Policy

PY - 2018/12/13

Y1 - 2018/12/13

N2 - This paper presents a novel technique for improving radar accuracy. In particular, by studying the product of multiple radar beam pattern spectrums from different radar sub-module views, a refined and improved total radar response can be obtained. We examine this radar signal processing approach using a 24GHz frequency-modulated continuous wave (FMCW) radar system equipped with broadband 1.5GHz substrate integrated waveguide (SIW) antenna arrays to ensure high range resolution. The transmitter is defined by 4 sawtooth signals generated by separated radar sub-modules, each having a multiple input multiple output (MIMO) configuration with 4 receivers at each radar submodule. The measured spectral multiplication of the individual radar sub-modules results in a signal quality improvement of more than 10dB when compared to a MIMO radar configuration with the same architecture.

AB - This paper presents a novel technique for improving radar accuracy. In particular, by studying the product of multiple radar beam pattern spectrums from different radar sub-module views, a refined and improved total radar response can be obtained. We examine this radar signal processing approach using a 24GHz frequency-modulated continuous wave (FMCW) radar system equipped with broadband 1.5GHz substrate integrated waveguide (SIW) antenna arrays to ensure high range resolution. The transmitter is defined by 4 sawtooth signals generated by separated radar sub-modules, each having a multiple input multiple output (MIMO) configuration with 4 receivers at each radar submodule. The measured spectral multiplication of the individual radar sub-modules results in a signal quality improvement of more than 10dB when compared to a MIMO radar configuration with the same architecture.

KW - Automotive

KW - Digital Beamforming

KW - FMCW radar

KW - MIMO

KW - SIW antenna

U2 - 10.1109/ANTEM.2018.8572959

DO - 10.1109/ANTEM.2018.8572959

M3 - Conference contribution

T3 - International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)

BT - 2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)

PB - Institute of Electrical and Electronics Engineers

CY - United States

T2 - 2018 18th International Symposium on Antenna Technology and Applied Electromagnetics

Y2 - 19 August 2018 through 22 August 2018

ER -

Alistarh CA, Podilchak SK, Goussestis G, Thompson JS, Lee J. Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy. In 2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM). United States: Institute of Electrical and Electronics Engineers. 2018. (International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)). doi: 10.1109/ANTEM.2018.8572959

Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy

Abstract

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Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

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Cite this