Emerging Trends in Radar
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 636
Special Issue Editor
Interests: microwave sensors; radar imaging; radar target detection; through-barrier sensing; radar informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application and usage of radar sensing technology have significantly expanded in recent years from military applications to the commercial, transportation, healthcare, personal security, and robotics areas. This has spawned a multiplicity of new research topics that need to be addressed in challenging environments such as collision avoidance for automobiles and drones, pedestrian detection, elderly fall detection, human detection in rubble, through-wall detection for personal safety, coexistence with communications, multifunctional RF systems, etc. Recently, the use of machine learning has also enhanced the detection, recognition, and classification of radar targets, further motivating new avenues for research. In addition, there are further constraints on the size, weight, power, and cost of radar systems that require innovative approaches to radar system design.
This Special Issue seeks personal perspectives from selected radar experts on future advances and trends in all areas of radar, including theory, system design, signal processing, novel applications, and system effectiveness. Perspectives are limited to 2000 words and must contain no more than one figure and three references. It is hoped that these perspectives will provide future directions for research advancement and research priorities.
Prof. Dr. Ram M. Narayanan
Guest Editor
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Keywords
- radar phenomenology
- radar scattering models
- high-resolution radar
- multifunctional RF design
- radar component and subsystem design trends
- detection and tracking in clutter
- radar performability
- radar signal and image processing
- target detection and classification
- multistatic and passive radar
- radar–communications coexistence
- quantum and photonic radar
- medical radar
- machine learning and artificial intelligence in radar
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