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AI-Powered RF Sensing and Signal Intelligence: Advances in Detection and Classification Techniques

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

Deadline for manuscript submissions: 1 March 2026 | Viewed by 32

Special Issue Editor


E-Mail Website
Guest Editor
1. Communications Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania
2. National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat Street, 400293 Cluj-Napoca, Romania
Interests: AI-powered RF signal analysis; real-time signal intelligence systems; security and surveillance applications; cognitive radio and spectrum monitoring

Special Issue Information

Dear Colleagues,

Recent advances in artificial intelligence (AI), machine learning (ML), and signal processing have opened new frontiers in the field of radio frequency (RF) sensing and signal intelligence. This Special Issue aims to bring together cutting-edge research focused on the development of intelligent systems capable of detecting, classifying, localizing, and interpreting RF signals in complex and dynamic environments.

We welcome original research and review articles exploring AI-powered approaches to signal detection, spectral analysis, source identification, and RF-based threat monitoring. Topics of interest include, but are not limited to, deep learning for RF classification, spectrogram-based methods, real-time signal intelligence systems, and the use of AI in non-cooperative sensing scenarios, such as drone detection or electronic surveillance.

The goal of this Special Issue is to provide a platform for interdisciplinary contributions that push the boundaries of autonomous signal intelligence and spectrum awareness, with applications ranging from wireless communications and cognitive radio to defense, security, and IoT monitoring.

Prof. Dr. Emanuel Puschita
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • RF sensing
  • signal intelligence (SIGINT)
  • spectrum monitoring
  • RF signal detection and classification
  • I/Q time series analysis
  • spectrogram-based methods
  • artificial intelligence (AI)
  • machine learning (ML)
  • deep learning for RF
  • real-time signal intelligence
  • source localization
  • security and surveillance applications
  • non-cooperative sensing
  • cognitive radio
  • drone detection via RF

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Published Papers

This special issue is now open for submission.
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