New Insights in Radar Signal Processing and Target Recognition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 608

Special Issue Editors


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Guest Editor
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Interests: radar micro-Doppler effect; radar jamming and anti-jamming; radar measurement; radar target classification and recognition; digital signal processing; machine learning

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Guest Editor
Faculty of Data Science, City University of Macau, Macau SAR 999078, China
Interests: machine learning; smart healthcare; pattern recognition; image processing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Electronic and Optical Engineering and the College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Interests: radar signal processing; electronic countermeasure; radar electronic reconnaissance; deep learning

Special Issue Information

Dear Colleagues,

As wireless detection equipment, radar has been widely used in various fields, including autonomous driving, remote sensing, navigation, space target detection, target recognition and precision strike, due to its all-weather and all-day capacities, high distance resolution, etc. With the development of advanced signal processing methods and deep learning algorithms, radar has been applied in some new fields such as micro-Doppler target recognition, human health monitoring and smart security. But some new challenges are also gradually emerging, including but not limited to detection and recognition of small-sample targets in strong-clutter background and complex environments, respiration and heart rate monitoring of moving humans, pose-robustness representation extraction under different observation conditions, target recognition in space background, etc. Moreover, the continuous emergence of various types of radio equipment has also made radar face an increasingly complex electromagnetic environment in the civilian field. The development of new jammers in the military field greatly reduces the performance and survivability of radars. Signal reconnaissance, separation, identification, and anti-interference has been the study hotspot in the radar signal processing field.

This Special Issue aims to explore new insights in radar signal processing and target recognition. Original and novel contributions, including research papers and extensive reviews, addressing new radar signal processing methods, special radar application scenes, innovative radar target detection and recognition algorithms are welcomed. Research areas may include (but are not limited to) the following:

  • Radar micro-Doppler effect;
  • Synthetic aperture radar;
  • Inverse synthetic aperture radar;
  • Bi-static /multi-static radar target detection;
  • Distributed radar designing and imaging;
  • Space radar situational awareness;
  • Radar target detection and recognition in complex weathers;
  • Radar target detection and recognition in complex background environments;
  • Radar jamming and anti-jamming;
  • Radar signal reconnaissance, separation and recognition;
  • Radar signal parameter estimation;
  • Radar target modeling and verification;
  • Human health monitoring using radars;
  • Human posture recognition using radars;
  • Radar ID and security.

Dr. Lingzhi Zhu
Dr. Qi Zhang
Dr. Kuiyu Chen
Guest Editors

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Keywords

  • radar target detection
  • radar target recognition
  • radar signal processing
  • radar jamming and anti-jamming
  • SAR and ISAR
  • distributed radars

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Published Papers (1 paper)

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Research

14 pages, 1244 KiB  
Article
Field-Programmable Gate Array Implementation of Backprojection Algorithm for Circular Synthetic Aperture Radar
by Jinmoo Heo, Seongjoo Lee and Yunho Jung
Electronics 2025, 14(8), 1544; https://doi.org/10.3390/electronics14081544 - 10 Apr 2025
Viewed by 179
Abstract
This paper presents a backprojection algorithm (BPA) accelerator implemented on a field-programmable gate array (FPGA) for circular synthetic aperture radar (SAR) systems. Although the BPA offers superior image quality, it requires significantly more computation and is memory intensive, necessitating hardware optimization. In particular, [...] Read more.
This paper presents a backprojection algorithm (BPA) accelerator implemented on a field-programmable gate array (FPGA) for circular synthetic aperture radar (SAR) systems. Although the BPA offers superior image quality, it requires significantly more computation and is memory intensive, necessitating hardware optimization. In particular, the BPA accumulates image data, leading to high memory requirements that must be reduced for embedded system implementation. To address this issue, we optimized the floating-point (FP) bit width, focusing on the output data that form the image, rather than only reducing the internal computation bit widths as in previous studies. Specifically, we optimized the exponent and mantissa widths in six computational units, prioritizing memory optimization for image data before reducing the computational logic. The proposed BPA accelerator achieved a 77% reduction in memory usage and a 73–74% reduction in computational logic while maintaining an image quality with a structural similarity index measure (SSIM) of 0.99 or higher. These optimizations significantly enhanced the feasibility of BPA processing in embedded systems. Full article
(This article belongs to the Special Issue New Insights in Radar Signal Processing and Target Recognition)
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