Advanced Robust Processing Techniques and Sensor Technologies for Complex Radio Frequency Signals
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 25 January 2026 | Viewed by 13
Special Issue Editor
Interests: ignal processing and communication systems; cognitive wireless networks; cooperative systems; WCDMA, WiMAX, MIMO, and OFDM system
Special Issue Information
Dear Colleagues,
This Special Issue emphasizes advanced methodologies and cutting-edge technologies aimed at enhancing the processing, detection, and analysis of complex radio frequency (RF) signals in various dynamic environments. It offers valuable insights into the latest advancements in RF signal processing to improve performance and efficiency in wireless communication, radar, IoT, and sensor-based applications.
The highlights include passive RF sensing, enabling non-intrusive spectrum monitoring and real-time sensing of the RF environment, and multispectral sensing and detection for enhanced signal detection across various frequency bands. AI and machine learning algorithms are explored for automating signal classification, detection, and prediction while addressing challenges such as the mismatch between training and testing data. Additionally, the journal highlights the use of high-fidelity RF digital twins, virtual models that simulate RF systems for testing and optimization before deployment, and their integration with advanced sensing technologies to enable more precise RF system performance and real-time monitoring.
Dr. Yanwu Ding
Guest Editor
Manuscript Submission Information
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Keywords
- passive RF sensing
- multispectral sensing and detection
- AI and ML algorithms for RF applications
- processing the mismatch between training and testing data in ML algorithms
- high-fidelity RF digital twins
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