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

Journal Article (2023)
Author(s)

Aitor Correas Serrano (Fraunhofer Institute for High Frequency Physics and Radar Techniques)

Nikita Petrov (NXP Semiconductors, Microwave Sensing, Signals & Systems)

Maria Gonzalez-Huici (Fraunhofer Institute for High Frequency Physics and Radar Techniques)

Alexander Yarovoy (Microwave Sensing, Signals & Systems)

Microwave Sensing, Signals & Systems
DOI related publication
https://doi.org/10.1109/TRS.2023.3329918 Final published version
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Publication Year
2023
Language
English
Microwave Sensing, Signals & Systems
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.
Journal title
IEEE Transactions on Radar Systems
Volume number
1
Pages (from-to)
707-718
Downloads counter
328
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Institutional Repository
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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 μMIMO 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.

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