MIMO OTFS With Arbitrary Time-Frequency Allocation for Joint Radar and Communications

Aitor Correas Serrano*, Nikita Petrov, Maria Gonzalez-Huici, Alexander Yarovoy

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This paper proposes a novel waveform, namely non-uniform OTFS (NU-OTFS), for joint radar and communication applications (Radcom) in multi-user/MIMO scenarios. Based on orthogonal time frequency space (OTFS) modulation, the proposed waveform is realized by using a non-uniform symplectic finite Fourier transform (NU-SFFT) to generate non-overlapping quasi-arbitrary time-frequency representations of OTFS messages. Non-uniform sampling and sparse reconstruction algorithms within the compressed sensing framework are employed to avoid (self-)interference and enhance radar target parameter estimation. The performance of NU-OTFS and its corresponding receivers is evaluated through numerical simulations and measurements, and compared with state-of-the-art MU/MIMO Radcom OTFS system concepts. NU-OTFS allows for increased flexibility in time-frequency resource allocation and larger unambiguous radar parameter estimation while showing comparable performance to state-of-the-art OTFS multi-user communication implementations in realistic high-mobility channel conditions.
Original languageEnglish
Pages (from-to)707-718
Number of pages12
JournalIEEE Transactions on Radar Systems
Volume1
DOIs
Publication statusPublished - 2023

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Orthogonal time-frequency space (OTFS)
  • multiple-input-multiple-output (MIMO)
  • compressed sensing (CS)
  • sparse reconstruction
  • radar-communication (Radcom)
  • radar sensing

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