Advances in Radar Imaging and Signal Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 April 2024 | Viewed by 83
Interests: radar imaging; signal processing
Interests: SAR imaging
Special Issues, Collections and Topics in MDPI journals
Radar imaging technology is a versatile tool with applications in autonomous navigation, terrain observation, disaster monitoring, moving target tracking, etc. Among the various radar imaging techniques, synthetic aperture radar (SAR) has convincingly demonstrated its unique imaging capabilities, including wide swath coverage, high resolution, and all-day and all-weather operability, which greatly contribute to enhancing the safety, efficiency, and reliability of these applications. Ongoing cutting-edge research in this field is vital to meet the evolving needs of modern society and advanced technologies.
Advanced signal processing techniques enable radar systems to generate high-quality images and extract valuable information from echoes for target detection and recognition. In recent years, new radar imaging technologies have constantly been emerging to meet the increasing application demands, which poses greater challenges to related signal processing techniques. By exploring the symbiotic relationship between these fields, we can gain a deeper understanding of how innovations in signal processing can unlock new possibilities in radar imaging.
This Special Issue aims to introduce the latest advances and future prospects of radar imaging and signal processing, from novel algorithms enhancing resolution and accuracy to applications in environmental monitoring, autonomous vehicles, and disaster management. We encourage discussions and solutions to address the following, but not limited, topics:
- Spaceborne/airborne SAR/ground-based SAR;
- Bi-static and multi-static SAR/ISAR;
- Moving target imaging;
- Video SAR;
- Microwave photonic radar imaging;
- New radar imaging technology;
- Radar surveying and mapping technology;
- Geohazard monitoring technology;
- Waveform design and optimization;
- Target detection and tracking;
- Data fusion and information fusion;
- High-speed real-time signal processing;
- Interference suppression and anti-jamming;
- Machine learning in radar imaging.
Dr. Zhichao Sun
Dr. Hongyang An
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. Applied Sciences 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 2400 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.
- radar imaging
- motion compensation
- multi-target imaging
- synthetic aperture radar (SAR)
- bistatic/multi-static radar imaging
- forward-looking imaging
- moving target imaging
- target detection and tracking
- radar imaging applications
- radar data fusion
- machine learning in radar