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Contemporary Microwave and Radar Techniques in Remote Sensing—MIKON 2022, IRS 2022

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1780

Special Issue Editors

Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, Poland
Interests: radar signal processing; passive radars; space surveillance radars; adaptive signal processing; biomedical signal processing; machine learning; analog-to-digital converters
Special Issues, Collections and Topics in MDPI journals
Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, 53343 Wachtberg, Germany
Interests: microwaves and RF; microwave filters; microwave measurements; electromagnetics; antenna; radar signal processing; bi-/multistatic radar; waveform design, joint communication and sensing; signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Microwave and radar techniques are the foundations of the majority of remote sensing systems. Contemporary developments in both of these fields allow the increasing demands of modern remote sensing systems to be met. Hence, the remote sensing research community should reflect upon the recent achievements in these two fields, especially research that focuses on future technology.

This Special Issue aims to present the latest research findings in the field of microwave and radar techniques that are related to remote sensing, which will be presented in detail during the 24th International Microwave and Radar Conference (MIKON 2022) and 23rd International Radar Symposium (IRS). Both conferences will be held on September 12-14, 2022 in Gdańsk, Poland. The best contributions from the leading experts in these fields of research will be extended into full journal articles, collected, and presented in this Special Issue. Other authors who will not be able to attend these conferences are also invited to submit their original manuscripts on the topics covered by this Special Issue.

Topics include but are not limited to:

  • Antennas and arrays;
  • Signal propagation;
  • Microwave and RF components and techniques;
  • Millimeter-wave and THz technologies;
  • Radar technologies and techniques for remote sensing;
  • Passive, bistatic, and multi-static radar;
  • SAR and ISAR techniques;
  • Passive radar imaging;
  • Target detection and tracking;
  • Ground moving-target indication;
  • Target recognition and classification;
  • Signal processing for remote sensing;
  • Multi-channel and array processing;
  • Space and satellite applications;
  • Joint sensing and communication;
  • Measurement methods and systems related to remote sensing.

Prof. Dr. Konrad Jędrzejewski
Dr. Matthias Weiß
Guest Editors

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. Remote Sensing 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 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

  • radar
  • passive radar
  • radar imaging
  • SAR/ISAR
  • space surveillance
  • satellite applications
  • radar networks
  • waveform design for joint sensing and communication applications

Published Papers (1 paper)

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Research

21 pages, 2608 KiB  
Article
An Advanced Data Processing Algorithm for Extraction of Polarimetric Radar Signatures of Moving Automotive Vehicles Using the H/A/α Decomposition Technique
by Detmer A. Bosma, Oleg A. Krasnov and Alexander Yarovoy
Remote Sens. 2023, 15(4), 1060; https://doi.org/10.3390/rs15041060 - 15 Feb 2023
Cited by 1 | Viewed by 1321
Abstract
A dedicated signal and data processing chain is proposed for a fully polarimetric Doppler surveillance S-band radar to extract the polarimetric signatures of moving targets. To extract the target’s polarimetric features, detection, clustering, and tracking steps are realized for a multi-target environment in [...] Read more.
A dedicated signal and data processing chain is proposed for a fully polarimetric Doppler surveillance S-band radar to extract the polarimetric signatures of moving targets. To extract the target’s polarimetric features, detection, clustering, and tracking steps are realized for a multi-target environment in the range-Doppler domain. A dedicated data fusion method for all four polarimetric radar channel signals is implemented to take full advantage of the additional polarimetric information and improve the detection performance. While tracking each particular target, polarization information is collected and used to describe their polarization scattering characteristics. Using the polarimetric H/A/α decomposition technique, the polarimetric features of moving automotive targets are extracted and investigated. The developed processing chain has been applied to the signals scattered from vehicles moving in a highway. By employing both time averaging and spatial averaging of the statistical coherency matrix, the polarimetric signatures of both moving vehicles and static clutter have been presented in the two-dimensional H/α plane. It has been found that the spatial averaging approach results in polarimetric signatures of moving vehicles that give the opportunity to directly and without consideration of the motion of the targets compare the polarization features of moving targets and static clutter. Therefore, this method can be used to improve the performance of target detection or target classification. Full article
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