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

Journal article (2023)

Authors

A. Correas Serrano Fraunhofer Institute for High Frequency Physics and Radar Techniques
N. Petrov Microwave Sensing, Signals & Systems - EEMCS , NXP Semiconductors
Maria Gonzalez-Huici Fraunhofer Institute for High Frequency Physics and Radar Techniques
Alexander Yarovoy Microwave Sensing, Signals & Systems - EEMCS
Research Group
Microwave Sensing, Signals & Systems (EEMCS) (TU Delft)
Copyright: © 2023 A. Correas Serrano, N. Petrov, Maria Gonzalez-Huici, Alexander Yarovoy
DOI
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https://doi.org/10.1109/TRS.2023.3329918
Sparse reconstruction Orthogonal time-frequency space (OTFS) Multiple-input-multiple-output (MIMO) Compressed sensing (CS) Radar-communication (Radcom) Radar sensing
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Published Date

2023

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

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.