Frequency-Hopping Based Joint Automotive Radar-Communication Systems Using A Single Device

Ni, Z; Zhang, JA; Yang, K; Liu, R

Frequency-Hopping Based Joint Automotive Radar-Communication Systems Using A Single Device

Ni, Z

Zhang, JA Yang, K Liu, R

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022, 2022, 00, pp. 480-485
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Ni, Z https://orcid.org/0000-0002-7932-5996
dc.contributor.author	Zhang, JA
dc.contributor.author	Yang, K
dc.contributor.author	Liu, R
dc.date	2022-05-16
dc.date.accessioned	2023-01-27T06:09:14Z
dc.date.available	2023-01-27T06:09:14Z
dc.date.issued	2022-01-01
dc.identifier.citation	2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022, 2022, 00, pp. 480-485
dc.identifier.isbn	9781665426718
dc.identifier.issn	2164-7038
dc.identifier.uri	http://hdl.handle.net/10453/165548
dc.description.abstract	Dual-functional radar-communication (DFRC), integrating the two functions into one system and sharing one transmitted signal, shows its great potential in self-driving networks. In this paper, we develop a single-device based multi-input single-output (MISO) DFRC vehicular system. Modulations of un-slotted ALOHA frequency-hopping (UA-FH) and fast FH, commonly used in automotive radar, are adopted to transmit the DFRC waveforms and to address severe interferences caused by an interfering vehicle that serves as a communication transmitter. Due to the asynchrony between vehicles, the FH sequences of the interfering vehicle are chosen from a fixed codebook. All channel parameters are then extracted via FH decoding from radar backscattered channels and communication channels, respectively. To further increase the accuracy, we proceed to propose an iterative algorithm that divides the signals into short segments and jointly obtains all parameters with high resolution. Finally, simulation results are provided and validate the proposed DFRC vehicular system.
dc.language	en
dc.publisher	IEEE
dc.relation	http://purl.org/au-research/grants/arc/DP210101411
dc.relation.ispartof	2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
dc.relation.ispartof	IEEE International Conference on Communications (ICC)
dc.relation.ispartofseries	IEEE International Conference on Communications Workshops
dc.relation.isbasedon	10.1109/ICCWorkshops53468.2022.9814651
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Frequency-Hopping Based Joint Automotive Radar-Communication Systems Using A Single Device
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Seoul, SOUTH KOREA
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2024-07-31T00:00:00+1000Z
dc.date.updated	2023-01-27T06:09:03Z
pubs.finish-date	2022-05-20
pubs.publication-status	Published
pubs.start-date	2022-05-16
pubs.volume	00

Abstract:

Dual-functional radar-communication (DFRC), integrating the two functions into one system and sharing one transmitted signal, shows its great potential in self-driving networks. In this paper, we develop a single-device based multi-input single-output (MISO) DFRC vehicular system. Modulations of un-slotted ALOHA frequency-hopping (UA-FH) and fast FH, commonly used in automotive radar, are adopted to transmit the DFRC waveforms and to address severe interferences caused by an interfering vehicle that serves as a communication transmitter. Due to the asynchrony between vehicles, the FH sequences of the interfering vehicle are chosen from a fixed codebook. All channel parameters are then extracted via FH decoding from radar backscattered channels and communication channels, respectively. To further increase the accuracy, we proceed to propose an iterative algorithm that divides the signals into short segments and jointly obtains all parameters with high resolution. Finally, simulation results are provided and validate the proposed DFRC vehicular system.

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http://hdl.handle.net/10453/165548