Multi-Criteria Optimization of Electronic Intelligence Sensors Data Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Radar Sensors".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 3
Special Issue Editors
Interests: specific emitter identification; radar signal processing; feature extraction; radar emitter recognition; radar emitter identification; C4I Systems; ELINT systems; electronic warfare systems
Interests: electronic warfare systems; ELINT systems; emitters classification and identification; radar signals analysis and processing; emitters databases; algorithms design; algorithms optimization; data particle divide algorithms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
An idea of ELINT (Electronic Intelligence) class systems is based on an acquisition, a deinterleaving, a main lobe and a particular pulse feature extraction, a classification, and an identification of radar emission. These are electronic signals that are not used in communication between people; therefore, they do not carry voice messages or text messages.
A dynamic development in the artificial intelligence field provides methods that, through an adaptation, allow for an improvement of particular stages of the ELINT data processing process. In terms of optimizing the mentioned activities, a set of important objective functions includes the following: minimizing the data processing time, maximizing the correctness of results, and maximizing the security of data used in the process of learning the artificial intelligence algorithms.
The goal of this Special Issue is to converge competences of specialists from various fields: artificial intelligence, data science, sensors, and signal processing in order to gather the latest and the best practice experiences constituting a relevant contribution to the current state of art.
Topics of interest include, but are not limited to, the following:
- Sensors systems of electronic intelligence data acquisition;
- Radar signal pre-processing methods;
- Radar signal deinterleaving approaches;
- Main lobe and pulse feature extraction algorithms;
- Distinctive features set creation methods;
- Algorithms of radar emission classification and identification;
- Systems, sensors, and methods applied in signal intelligence activities.
Dr. Janusz Dudczyk
Dr. Łukasz Rybak
Guest Editors
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Keywords
- data processing
- emission classification
- emission identification
- electronic intelligence
- main lobe extraction
- optimization
- pulse features extraction
- signals deinterleaving
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