Waveform Design for Simultaneous MIMO Radar Sensing and Multi-User Communication

This paper proposes a novel two-stage joint wave-form design framework for multi-antenna Integrated Sensing and Communication (ISAC) systems that simultaneously enable Multiple-Input Multiple-Output (MIMO) radar sensing and Multi-User MIMO communication. First, a transmit waveform covariance matrix is designed by solving a convex matrix nearness problem for beampattern synthesis that simultaneously maximizes transmit power in desired directions and minimizes cross-directional correlations, while accommodating independent antenna power constraints and supporting interference suppression through radiation null steering. Second, a waveform conforming to the designed covariance is synthesized while additionally enforcing inter-user interference suppression via the zero-forcing approach and imposing practical implementation constraints, notably limiting the peak-to-average-power-ratio on the individual antenna elements. Simulation results demonstrate that the approach significantly enhances ISAC waveform design flexibility, performance, and computational efficiency compared to the alternative methods in the literature.

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Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2025-09-16
DOI
https://doi.org/10.1109/jsac.2025.3610450
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
4.99
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article

Waveform Design for Simultaneous MIMO Radar Sensing and Multi-User Communication

Kenan Turbić, Sławomir Stańczak, Berkan Kılıç
1 citations
IEEE Journal on Selected Areas in Communications
Radar Systems and Signal Processing
4.99
article

Waveform Design for Simultaneous MIMO Radar Sensing and Multi-User Communication

Kenan Turbić, Sławomir Stańczak, Berkan Kılıç
article en
1 citations

Abstract

This paper proposes a novel two-stage joint wave-form design framework for multi-antenna Integrated Sensing and Communication (ISAC) systems that simultaneously enable Multiple-Input Multiple-Output (MIMO) radar sensing and Multi-User MIMO communication. First, a transmit waveform covariance matrix is designed by solving a convex matrix nearness problem for beampattern synthesis that simultaneously maximizes transmit power in desired directions and minimizes cross-directional correlations, while accommodating independent antenna power constraints and supporting interference suppression through radiation null steering. Second, a waveform conforming to the designed covariance is synthesized while additionally enforcing inter-user interference suppression via the zero-forcing approach and imposing practical implementation constraints, notably limiting the peak-to-average-power-ratio on the individual antenna elements. Simulation results demonstrate that the approach significantly enhances ISAC waveform design flexibility, performance, and computational efficiency compared to the alternative methods in the literature.

IEEE Journal on Selected Areas in CommunicationsVol. 44
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (DE)
Openalex Percentile: Top 5%
Radar Systems and Signal Processing
4.99
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Waveform Design for Simultaneous MIMO Radar Sensing and Multi-User Communication — Kenan Turbić, Sławomir Stańczak, et al. · IEEE Journal on Selected Areas in Communications (2025) | TGRS Research Map | TGRS