Radar Sensing with OTFS: Embracing ISI and ICI to Surpass the Ambiguity Barrier

Musa Furkan Keskin, Henk Wymeersch, Alex Alvarado

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

27 Citaten (Scopus)

Samenvatting

Orthogonal time frequency space (OTFS) is a promising alternative to orthogonal frequency division multiplexing (OFDM) in high-mobility beyond 5G communications. In this paper, we consider the problem of radar sensing with OTFS joint radar-communications waveform and derive a novel OTFS radar signal model by explicitly taking into account the inter- symbol interference (ISI) and inter-carrier interference (ICI) effects. On the basis of the new model, we show how ISI and ICI phenomena can be turned into an advantage to surpass the maximum unambiguous detection limits in range and velocity, arising in existing OFDM and OTFS radar systems. Moreover, we design a generalized likelihood ratio test based detector/estimator that can embrace ISI and ICI effects. Simulation results illustrate the potential of embracing ISI/ICI and demonstrate its superior detection and estimation performance over conventional base-lines.

Originele taal-2Engels
Titel2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's6
ISBN van elektronische versie978-1-7281-9441-7
DOI's
StatusGepubliceerd - jun. 2021
Evenement2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Virtual, Online
Duur: 14 jun. 202123 jun. 2021

Congres

Congres2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021
StadVirtual, Online
Periode14/06/2123/06/21

Bibliografische nota

Funding Information:
ACKNOWLEDGMENTS This work is supported by the EU Marie Curie Actions Individual Fellowship project OTFS-RADCOM, grant nr. 888913, Vinnova grant 2018-01929 and the European Commission through the H2020 project Hexa-X (Grant Agreement no. 101015956). The work of A. Alvarado is supported by the Dutch Technology Foundation TTW, which is part of the Netherlands Organisation for Scientific Research (NWO), under the project Integrated Cooperative Automated Vehicles (i-CAVE).

Financiering

ACKNOWLEDGMENTS This work is supported by the EU Marie Curie Actions Individual Fellowship project OTFS-RADCOM, grant nr. 888913, Vinnova grant 2018-01929 and the European Commission through the H2020 project Hexa-X (Grant Agreement no. 101015956). The work of A. Alvarado is supported by the Dutch Technology Foundation TTW, which is part of the Netherlands Organisation for Scientific Research (NWO), under the project Integrated Cooperative Automated Vehicles (i-CAVE).

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