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Recent Advances in Radar Imaging Techniques and Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Radar Sensors".

Deadline for manuscript submissions: 10 December 2024 | Viewed by 634

Special Issue Editors


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Guest Editor
National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China
Interests: target detection and recognition; deep learning; synthetic aperture radar
Special Issues, Collections and Topics in MDPI journals
Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Interests: Radar image processing; target recognition; deep learning

Special Issue Information

Dear Colleagues,

Radar-oriented interpretation technology is a key part of radar technology. Recent requirements for modern radar systems for feature description, localization, and classification have prompted the development of target imaging, target detection and recognition, etc. Interpretation algorithms determine the optimization space for radar exploration, and a variety of complex scenarios have led to an increasingly high demand for radar interpretation algorithms for realistic tasks. The introduction of new signal processing and artificial intelligence technology has made radar interpretation highly valuable. However, focusing on signal feature learning and image semantic learning, there are still many challenges to constructing a new paradigm for intelligent radar target interpretation, which has continuously stimulated research interest from the worldwide scientific community. 

This Special Issue aims to collect the latest research results in the field of radar target intelligent interpretation techniques. Applications in both the military and civilian fields are welcome. Topics of interest include, but are not limited to, the following:

  • SAR/ISAR imaging;
  • Target detection;
  • Target recognition and classification;
  • Target semantic segmentation;
  • Target tracking.

Dr. Ganggang Dong
Dr. Zhe Geng
Guest Editors

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 2600 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

  • radar imaging
  • synthetic aperture radar
  • target detection

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Published Papers (1 paper)

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Research

12 pages, 5482 KiB  
Communication
Array Radar Three-Dimensional Forward-Looking Imaging Algorithm Based on Two-Dimensional Super-Resolution
by Jinke Dai, Weijie Sun, Xinrui Jiang and Di Wu
Sensors 2024, 24(22), 7356; https://doi.org/10.3390/s24227356 - 18 Nov 2024
Viewed by 309
Abstract
Radar imaging is a technology that uses radar systems to generate target images. It transmits radio waves, receives the signal reflected back by the target, and realizes imaging by analyzing the target’s position, shape, and motion information. The three-dimensional (3D) forward-looking imaging of [...] Read more.
Radar imaging is a technology that uses radar systems to generate target images. It transmits radio waves, receives the signal reflected back by the target, and realizes imaging by analyzing the target’s position, shape, and motion information. The three-dimensional (3D) forward-looking imaging of missile-borne radar is a branch of radar imaging. However, owing to the limitation of antenna aperture, the imaging resolution of real aperture radar is restricted. By implementing the super-resolution techniques in array signal processing into missile-borne radar 3D forward-looking imaging, the resolution can be further improved. In this paper, a 3D forward-looking imaging algorithm based on the two-dimensional (2D) super-resolution algorithm is proposed for missile-borne planar array radars. In the proposed algorithm, a forward-looking planar array with scanning beams is considered, and each range-pulse cell in the received data is processed one by one using a 2D super-resolution method with the error function constructed according to the weighted least squares (WLS) criterion to generate a group of 2D spectra in the azimuth-pitch domain. Considering the lack of training samples, the super-resolution spectrum of each range-pulse cell is estimated via adaptive iteration processing only with one sample, i.e., the cell under process. After that, all the 2D super-resolution spectra in azimuth-pitch are accumulated according to the changes in instantaneous beam centers of the beam scanning. As is verified by simulation results, the proposed algorithm outperforms the real aperture imaging method in terms of azimuth-pitch resolution and can obtain 3D forward-looking images that are of a higher quality. Full article
(This article belongs to the Special Issue Recent Advances in Radar Imaging Techniques and Applications)
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