Signal Processing in Modern Radars
A special issue of Signals (ISSN 2624-6120).
Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 8150
Special Issue Editors
Interests: noise radar; MIMO radar; passive radar; synthetic aperture radar
Interests: low probability of intercept radar; noise radar; electronic warfare; uas-based electromagnetic sensing; uas detection
Special Issues, Collections and Topics in MDPI journals
2. Industrial Engineering and Management Department, Instituto Superior de Engenharia de Lisboa ISEL, 1959-007 Lisboa, Portugal
Interests: passive and active radar; synthetic aperture radar; moving target detection and imaging
Special Issue Information
Dear colleagues,
Advances in the miniaturization and integration of RF front-ends, converters, and processing units as well as increases in available computational power and data transfer rates bring radar systems into new fields. They also open up further possibilities in well-established radar applications.
However, these development factors rarely provide new functionalities themselves. The crucial factor allowing utilization of this emerging potential is proper signal processing algorithms. Basic radar processing steps such as waveform generation, digital signal conditioning, range-doppler compression, detection, and target localization must be revisited, taking into account wider data bandwidths, spatial diversity of radar sensors, and possible communication between them. These also bring challenges into data interpretation at more abstract levels. Tracking and imaging are currently the groundwork for target classification and behavior prediction, especially in terms of highlighting potentially dangerous situations. In each novel radar application, the outcome of highest relevance is defined in a completely different way, and thus, each new application field introduces utterly different signal processing algorithms. A breakthrough can be achieved via the emerging techniques of data mining which may lead to straightforward solutions, with reduction and redefinition of traditional steps by knowledge discovery algorithms.
The aim of this Special Issue is to present the latest research results in the area of signal processing techniques dedicated to modern radar applications as a response to the growing potential of data input and processing means, as well as increasing end-user demand for more accurate or more synthetic outcomes.
This Special Issue aims to highlight advances in radar signal processing. Topics include but are not limited to:
- Radar signal processing;
- Waveform and spatial diversity (MIMO radar);
- Network radar and data fusion;
- Signal processing in imaging radar;
- Target classification and recognition in radar applications;
- Machine learning applications in modern radars;
- Algorithms for real-time radar processing;
- Automotive and human detection applications;
- Cognitive radars.
Dr. Łukasz Maślikowski
Dr. Christoph Wasserzier
Dr. Paulo Marques
Guest Editors
Manuscript Submission Information
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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. Signals is an international peer-reviewed open access quarterly journal published by MDPI.
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Keywords
radar signal processing; radar applications; radar algorithms; machine learning; MIMO radar; cognitive radar; radar imaging
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