An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing
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Abstract (arXiv)
Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, sharing a majority of hardware and signal processing modules and, in a typical case, sharing a single transmitted signal. It is recognised as a key approach in significantly improving spectrum efficiency, reducing device size, cost and power consumption, and improving performance thanks to potential close cooperation of the two functions. Advanced signal processing techniques are critical for making the integration efficient, from transmission signal design to receiver processing. This paper provides a comprehensive overview of JCR systems from the signal processing perspective, with a focus on state-of-the-art. A balanced coverage on both transmitter and receiver is provided for three types of JCR systems, communication-centric, radar-centric, and joint design and optimization.
Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Feb 2021.
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Citing papers per year: 2022: 2; 2023: 5; 2024: 1; 2025: 7; 2026: 4.
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- 2022DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Datasetcited by 53
- 2023ISAC-NET: Model-driven Deep Learning for Integrated Passive Sensing and Communicationcited by 3
- 2023Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Accesscited by 3
- 2025Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunitiescited by 3
- 2023Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstructioncited by 2
- 2025Multimodal Mixture-of-Experts for ISAC in Low-Altitude Wireless Networkscited by 2
- 2025Towards SISO Bistatic Sensing for ISACcited by 1
- 2025Variational Quantum Integrated Sensing and Communicationcited by 1
- 2026Autoencoder-Based Parameter Estimation for Superposed Multi-Component Damped Sinusoidal Signalscited by 1
- 2022Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selectioncited by 0
- 2023Interference and noise cancellation for joint communication radar (JCR) system based on contextual informationcited by 0
- 2023Multi-Base Station Cooperative Sensing with AI-Aided Trackingcited by 0
7 more
- 2024Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systemscited by 0
- 2025Robust Egoistic Rigid Body Localizationcited by 0
- 2025Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learningcited by 0
- 2025Variational Secret Common Randomness Extractioncited by 0
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Surveycited by 0
- 2026AERIS: Offline Policy Improvement for Multi-UAV Integrated Sensing and Communicationcited by 0
- 2026Parameter Estimation of Ringdown Quasinormal Modes with Autoencodercited by 0
- 2026Parameter Estimation of Ringdown Quasinormal Modes with Autoencoder13 Sep 2026
- 2026AERIS: Offline Policy Improvement for Multi-UAV Integrated Sensing and Communication26 Aug 2026
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Survey22 Jun 2026
- 2026Autoencoder-Based Parameter Estimation for Superposed Multi-Component Damped Sinusoidal Signals5 Apr 2026
- 2025Multimodal Mixture-of-Experts for ISAC in Low-Altitude Wireless Networks1 Dec 2025
- 2025Variational Quantum Integrated Sensing and Communication20 Nov 2025
- 2025Variational Secret Common Randomness Extraction2 Oct 2025
- 2025Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities23 Aug 2025
- 2025Towards SISO Bistatic Sensing for ISAC18 Aug 2025
- 2025Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning23 Jun 2025
- 2025Robust Egoistic Rigid Body Localization17 Jan 2025
- 2024Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems11 Jan 2024
7 more
- 2023Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access21 Dec 2023
- 2023Multi-Base Station Cooperative Sensing with AI-Aided Tracking31 Oct 2023
- 2023ISAC-NET: Model-driven Deep Learning for Integrated Passive Sensing and Communication14 Jul 2023
- 2023Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction25 Jun 2023
- 2023Interference and noise cancellation for joint communication radar (JCR) system based on contextual information14 Feb 2023
- 2022DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset17 Nov 2022
- 2022Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection16 Aug 2022
- 2022DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Datasetcited by 53
- 2023ISAC-NET: Model-driven Deep Learning for Integrated Passive Sensing and Communicationcited by 3
- 2023Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Accesscited by 3
- 2025Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunitiescited by 3
- 2023Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstructioncited by 2
- 2025Towards SISO Bistatic Sensing for ISACcited by 1
- 2025Variational Quantum Integrated Sensing and Communicationcited by 1
- 2026Autoencoder-Based Parameter Estimation for Superposed Multi-Component Damped Sinusoidal Signalscited by 1
- 2022Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selectioncited by 0
- 2023Interference and noise cancellation for joint communication radar (JCR) system based on contextual informationcited by 0
- 2023Multi-Base Station Cooperative Sensing with AI-Aided Trackingcited by 0
- 2024Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systemscited by 0
12 most cited of 18 All 18 (JSON)
- 2026Parameter Estimation of Ringdown Quasinormal Modes with Autoencoder13 Sep 2026
- 2026AERIS: Offline Policy Improvement for Multi-UAV Integrated Sensing and Communication26 Aug 2026
- 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Survey22 Jun 2026
- 2026Autoencoder-Based Parameter Estimation for Superposed Multi-Component Damped Sinusoidal Signals5 Apr 2026
- 2025Variational Quantum Integrated Sensing and Communication20 Nov 2025
- 2025Variational Secret Common Randomness Extraction2 Oct 2025
- 2025Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities23 Aug 2025
- 2025Towards SISO Bistatic Sensing for ISAC18 Aug 2025
- 2025Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning23 Jun 2025
- 2025Robust Egoistic Rigid Body Localization17 Jan 2025
- 2024Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems11 Jan 2024
- 2023Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access21 Dec 2023
12 newest of 18 All 18 (JSON)