Radar and Communication Co-existence: an Overview
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Abstract (arXiv)
Increased amounts of bandwidth are required to guarantee both high-quality/high-rate wireless services (4G and 5G) and reliable sensing capabilities such as automotive radar, air traffic control, earth geophysical monitoring and security applications. Therefore, co-existence between radar and communication systems using overlapping bandwidths has been a primary investigation field in recent years. Various signal processing techniques such as interference mitigation, pre-coding or spatial separation, and waveform design allow both radar and communications to share the spectrum. This article reviews recent work on co-existence between radar and communication systems, including signal models, waveform design and signal processing techniques. Our goal is to survey contributions in this area in order to provide a primary starting point for new researchers interested in these problems.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2019.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 0; 2025: 2; 2026: 2.
7 papers.
- 2021Model-Based Machine Learning for Communicationscited by 7
- 2021Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selectioncited by 5
- 2025Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunitiescited by 3
- 2022Changepoint Detection for Real-Time Spectrum Sharing Radarcited by 0
- 2025Temporal Convolutional Autoencoder for Interference Mitigation in FMCW Radar Altimeterscited by 0
- 2026X-Band UAV-enabled Integrated Sensing and Communications for Vehicular Networkscited by 0
- 2026Robust Design of Integrated Sensing and Communication in LEO Satellite Systemscited by 0
- 2026Robust Design of Integrated Sensing and Communication in LEO Satellite Systems14 Jul 2026
- 2026X-Band UAV-enabled Integrated Sensing and Communications for Vehicular Networks3 Jun 2026
- 2025Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities23 Aug 2025
- 2025Temporal Convolutional Autoencoder for Interference Mitigation in FMCW Radar Altimeters28 May 2025
- 2022Changepoint Detection for Real-Time Spectrum Sharing Radar30 Jun 2022
- 2021Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection9 Mar 2021
- 2021Model-Based Machine Learning for Communications12 Jan 2021