Analog Self-Interference Mitigation for IBFD, Joint Radar-Communications in Vehicular Applications

Carl Morgenstern; Alex R. Chiriyath; Arindam Dutta; Andrew Herschfelt; Yu Rong; Alyosha C. Molnar; Alyssa B. Apsel; David G. Landon; Daniel W. Bliss

doi:https://doi.org/10.1109/RadarConf2248738.2022.9764297

Analog Self-Interference Mitigation for IBFD, Joint Radar-Communications in Vehicular Applications

Carl Morgenstern, Alex R. Chiriyath, Arindam Dutta, Andrew Herschfelt, Yu Rong, Alyosha C. Molnar, Alyssa B. Apsel, David G. Landon, Daniel W. Bliss

Engineering, Ira A. Fulton Schools of (IAFSE)

Research output: Contribution to journal › Conference article › peer-review

Abstract

Emerging applications such as autonomous vehicles and urban air mobility (UAM) rely on radar, communications, and positioning, navigation, and timing (PNT) capabilities, all of which compete for limited spectral resources. In-band, full-duplex (IBFD) systems promise better spectral efficiency but also introduce significant self-interference. In this paper, we discuss a combination of self-interference cancellation approaches for IBFD, joint radar-communications systems in the context of automated vehicles and urban air mobility. We propose and simulate an analog suppression technique and characterize its performance under realistic hardware limitations including bit precision, channel delay spread, time alignment, and carrier frequency.

Original language	English (US)
Journal	Proceedings of the IEEE Radar Conference
DOIs	https://doi.org/10.1109/RadarConf2248738.2022.9764297
State	Published - 2022
Event	2022 IEEE Radar Conference, RadarConf 2022 - Duration: Jan 1 2022 → …

Keywords

In-band
automated vehicles
full-duplex
joint radar-communications
self-interference mitigation
urban air mobility

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

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https://doi.org/10.1109/RadarConf2248738.2022.9764297

Cite this

@article{490ad814f7b34ecfad0e789043edc8a7,

title = "Analog Self-Interference Mitigation for IBFD, Joint Radar-Communications in Vehicular Applications",

abstract = "Emerging applications such as autonomous vehicles and urban air mobility (UAM) rely on radar, communications, and positioning, navigation, and timing (PNT) capabilities, all of which compete for limited spectral resources. In-band, full-duplex (IBFD) systems promise better spectral efficiency but also introduce significant self-interference. In this paper, we discuss a combination of self-interference cancellation approaches for IBFD, joint radar-communications systems in the context of automated vehicles and urban air mobility. We propose and simulate an analog suppression technique and characterize its performance under realistic hardware limitations including bit precision, channel delay spread, time alignment, and carrier frequency.",

keywords = "In-band, automated vehicles, full-duplex, joint radar-communications, self-interference mitigation, urban air mobility",

author = "Carl Morgenstern and Chiriyath, {Alex R.} and Arindam Dutta and Andrew Herschfelt and Yu Rong and Molnar, {Alyosha C.} and Apsel, {Alyssa B.} and Landon, {David G.} and Bliss, {Daniel W.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Radar Conference, RadarConf 2022 ; Conference date: 01-01-2022",

year = "2022",

doi = "https://doi.org/10.1109/RadarConf2248738.2022.9764297",

language = "English (US)",

journal = "Proceedings of the IEEE Radar Conference",

issn = "1097-5764",

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TY - JOUR

T1 - Analog Self-Interference Mitigation for IBFD, Joint Radar-Communications in Vehicular Applications

AU - Morgenstern, Carl

AU - Chiriyath, Alex R.

AU - Dutta, Arindam

AU - Herschfelt, Andrew

AU - Rong, Yu

AU - Molnar, Alyosha C.

AU - Apsel, Alyssa B.

AU - Landon, David G.

AU - Bliss, Daniel W.

PY - 2022

Y1 - 2022

N2 - Emerging applications such as autonomous vehicles and urban air mobility (UAM) rely on radar, communications, and positioning, navigation, and timing (PNT) capabilities, all of which compete for limited spectral resources. In-band, full-duplex (IBFD) systems promise better spectral efficiency but also introduce significant self-interference. In this paper, we discuss a combination of self-interference cancellation approaches for IBFD, joint radar-communications systems in the context of automated vehicles and urban air mobility. We propose and simulate an analog suppression technique and characterize its performance under realistic hardware limitations including bit precision, channel delay spread, time alignment, and carrier frequency.

AB - Emerging applications such as autonomous vehicles and urban air mobility (UAM) rely on radar, communications, and positioning, navigation, and timing (PNT) capabilities, all of which compete for limited spectral resources. In-band, full-duplex (IBFD) systems promise better spectral efficiency but also introduce significant self-interference. In this paper, we discuss a combination of self-interference cancellation approaches for IBFD, joint radar-communications systems in the context of automated vehicles and urban air mobility. We propose and simulate an analog suppression technique and characterize its performance under realistic hardware limitations including bit precision, channel delay spread, time alignment, and carrier frequency.

KW - In-band

KW - automated vehicles

KW - full-duplex

KW - joint radar-communications

KW - self-interference mitigation

KW - urban air mobility

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DO - https://doi.org/10.1109/RadarConf2248738.2022.9764297

M3 - Conference article

SN - 1097-5764

JO - Proceedings of the IEEE Radar Conference

JF - Proceedings of the IEEE Radar Conference

T2 - 2022 IEEE Radar Conference, RadarConf 2022

Y2 - 1 January 2022

ER -

Analog Self-Interference Mitigation for IBFD, Joint Radar-Communications in Vehicular Applications

Abstract

Keywords

ASJC Scopus subject areas

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