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Waveform for Joint Radar and Communications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Radar Sensors".

Deadline for manuscript submissions: 30 July 2025 | Viewed by 407

Special Issue Editor


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Guest Editor
Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, 53343 Wachtberg, Germany
Interests: multistatic radar; waveform design; joint radar–communication; RadCom; synchronization; simultaneous transmit and receive (STAR)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Due to increasing spectrum congestion, there is great interest in combining radar and communications equipment on the same platform. As software-defined radio and digital signal processing are widely used in communications and radar, the hardware and RF front-end for both devices tend to be similar. This makes it more feasible to use the same RF and hardware platforms for joint radar–communication (JRC). A JRC device would allow more efficient planning and use of radio spectrum resources. It could also enable new applications that require both information exchange and precise localization. For this reason, waveform design for JRC systems has recently received considerable attention. Despite several efforts, most state-of-the-art waveforms are far from achieving ideal radar and communication performance.

This Special Issue is dedicated to all types of waveform/sensor design approaches that will enable a combination of radar/sensing and communication.

Dr. Matthias Weiß
Guest Editor

Manuscript Submission Information

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Keywords

  • radar
  • environmental sensing
  • communication
  • waveform design
  • joint radar–communication (JRC)
  • dual-function radar communication system (DFRC)

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Published Papers (1 paper)

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Research

12 pages, 1987 KiB  
Communication
Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology
by Srishti Singh, Ha-Neul Lee, Yuna Park, Sungho Kim, Si-Hyun Park and Jong-Ryul Yang
Sensors 2025, 25(10), 3113; https://doi.org/10.3390/s25103113 - 14 May 2025
Viewed by 182
Abstract
A methodology utilizing low-resolution camera data is proposed to mitigate clutter effects on radar sensors in smart indoor environments. The proposed technique suppresses clutter in distance–velocity (range–Doppler) images obtained from millimeter-wave radar by estimating clutter locations using approximate spatial information derived from low-resolution [...] Read more.
A methodology utilizing low-resolution camera data is proposed to mitigate clutter effects on radar sensors in smart indoor environments. The proposed technique suppresses clutter in distance–velocity (range–Doppler) images obtained from millimeter-wave radar by estimating clutter locations using approximate spatial information derived from low-resolution camera images. Notably, the inherent blur present in low-resolution images closely corresponds to the distortion patterns induced by clutter in radar signals, making such data particularly suitable for effective sensor fusion. Experimental validation was conducted in indoor path-tracking scenarios involving a moving subject within a 10 m range. Performance was quantitatively evaluated against baseline range–Doppler maps obtained using radar data alone, without clutter mitigation. The results show that our approach improves the signal-to-noise ratio by 2 dB and increases the target detection rate by 8.6% within the critical 4–6 m range, with additional gains observed under constrained velocity conditions. Full article
(This article belongs to the Special Issue Waveform for Joint Radar and Communications)
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