Advances in Miniaturized Radar Systems for Close-Range Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 117
Special Issue Editors
Interests: synthetic aperture radar imaging; sparse imaging; close-range sensing of radar target scattering characteristics
Interests: computational imaging; inverse imaging problems; deep learning; neuroimaging
Special Issues, Collections and Topics in MDPI journals
Interests: interferometric synthetic aperture radar (InSAR); tomographic synthetic aperture radar (TomoSAR); array synthetic aperture radar (Array-SAR); automotive radar; remote sensing processing; machine learning and deep learning; detection and classification in radar imagery
Special Issues, Collections and Topics in MDPI journals
2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China
3. The Suzhou Aerospace Information Research Institute, Suzhou 215123, China
4. The National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China
Interests: convex optimization; sparse representation; atomic norm minimization; application of sparse signal processing in two-dimensional and three-dimensional microwave imaging; new-generation synthetic aperture radar; neural network interpretability; hybrid neural network; application of signal processing in neural networks
Special Issue Information
Dear Colleagues,
Radar systems have undergone significant miniaturization in recent years, with compact systems now being deployed on mobile platforms like UAVs, and UGVs. Compared to conventional airborne and spaceborne platforms, these miniaturized radar systems offer higher revisit frequency, operational flexibility, and enhanced spatial resolution. This evolution has created exciting new opportunities in close-range remote sensing applications, such as surface displacement monitoring of civil infrastructures (e.g., bridges, dams), 3D digital twin modeling of urban buildings, security screening, non-destructive testing of industrial materials, and agriculture monitoring in vegetation environments.
These platforms face significant resource limitations from both system and environmental perspectives. System constraints include radar aperture design, signal power, navigation accuracy, positioning precision, and onboard capabilities for sampling, storage, and processing. Environmental challenges arise from the shorter range—proximity to targets amplifies interference from ground reflections, multipath signals, and complex scattering in cluttered scenes. These factors necessitate new system designs and advanced signal and image processing and perception techniques.
With this Special Issue, we aim to compile advanced research outcomes that specifically address various miniaturized radar close-range sensing problems in terms of systems, algorithms, and applications.
Potential topics include, but are not limited to, the following:
- Advanced Video-SAR techniques for enhanced target imaging, detection, and tracking in cluttered scenes
- UAV-borne SAR tomography for 3D urban structure mapping
- Ground-based radar systems for landslide monitoring, security screening, and scattering analysis
- Multistatic radar architectures: system design, processing scheme, and applications
- Radar-based simultaneous localization and mapping (SLAM)
- Compact radar system designs for integration
- Multi-sensor fusion and cross-modal close-range perception for processing, imaging, and interpreting complex environments
- Interference mitigation, motion compensation, and system calibration for mobile platforms
- Edge computing solutions for real-time radar signal processing
- Low-observable target sensing in cluttered or noise-dominated environments
- Deep-/machine learning methods for radar data processing and scene understanding
- Physics-aware artificial intelligence in close-range sensing
Dr. Yangyang Wang
Dr. Tianjiao Zeng
Prof. Dr. Xiaoling Zhang
Dr. Zhe Zhang
Guest Editors
Mr. Xu Zhan
Guest Editor Assistant
Affiliation: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Email: zhanxu@std.uestc.edu.cn
Webpage: https://scholar.google.com.hk/citations?hl=zh-CN&user=Usgy1vQAAAAJ&view_op=list_works&sortby=pubdate
Interests: ground-based radar imaging; automotive radar imaging; UAV-based tomoSAR imaging; computational imaging
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 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
- miniaturized radar systems
- close-range remote sensing
- mobile and embedded platforms
- radar-based scene understanding
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