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Signal Processing in Modern Radars
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Signal Processing in Modern Radars

A special issue of Signals (ISSN 2624-6120).

Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 7005

Special Issue Editors

Dr. Łukasz Maślikowski

E-Mail Website
Guest Editor
Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-661 Warszawa, Poland
Interests: noise radar; MIMO radar; passive radar; synthetic aperture radar
Dr. Christoph Wasserzier

E-Mail Website
Guest Editor
Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, Fraunhoferstrasse 20, D-53343 Wachtberg, Germany
Interests: low probability of intercept radar; noise radar; electronic warfare; uas-based electromagnetic sensing; uas detection
Special Issues, Collections and Topics in MDPI journals
Dr. Paulo Marques

E-Mail Website
Guest Editor
1. Telecommunications Institute, Instituto Superior Técnico, 1049-001 Lisboa, Portugal;
2. Industrial Engineering and Management Department, Instituto Superior de Engenharia de Lisboa ISEL, 1959-007 Lisboa, Portugal
Interests: passive and active radar; synthetic aperture radar; moving target detection and imaging

Special Issue Information

Dear colleagues,

Advances in the miniaturization and integration of RF front-ends, converters, and processing units as well as increases in available computational power and data transfer rates bring radar systems into new fields. They also open up further possibilities in well-established radar applications.

However, these development factors rarely provide new functionalities themselves. The crucial factor allowing utilization of this emerging potential is proper signal processing algorithms. Basic radar processing steps such as waveform generation, digital signal conditioning, range-doppler compression, detection, and target localization must be revisited, taking into account wider data bandwidths, spatial diversity of radar sensors, and possible communication between them. These also bring challenges into data interpretation at more abstract levels. Tracking and imaging are currently the groundwork for target classification and behavior prediction, especially in terms of highlighting potentially dangerous situations. In each novel radar application, the outcome of highest relevance is defined in a completely different way, and thus, each new application field introduces utterly different signal processing algorithms. A breakthrough can be achieved via the emerging techniques of data mining which may lead to straightforward solutions, with reduction and redefinition of traditional steps by knowledge discovery algorithms.

The aim of this Special Issue is to present the latest research results in the area of signal processing techniques dedicated to modern radar applications as a response to the growing potential of data input and processing means, as well as increasing end-user demand for more accurate or more synthetic outcomes.

This Special Issue aims to highlight advances in radar signal processing. Topics include but are not limited to:

  • Radar signal processing;
  • Waveform and spatial diversity (MIMO radar);
  • Network radar and data fusion;
  • Signal processing in imaging radar;
  • Target classification and recognition in radar applications;
  • Machine learning applications in modern radars;
  • Algorithms for real-time radar processing;
  • Automotive and human detection applications;
  • Cognitive radars.

Dr. Łukasz Maślikowski
Dr. Christoph Wasserzier
Dr. Paulo Marques
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. Signals is an international peer-reviewed open access quarterly 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 1000 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 signal processing; radar applications; radar algorithms; machine
learning; MIMO radar; cognitive radar; radar imaging

Published Papers (2 papers)

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Research

16 pages, 6150 KiB  
Article
Development of the First Portuguese Radar Tracking Sensor for Space Debris
by João Pandeirada, Miguel Bergano, João Neves, Paulo Marques, Domingos Barbosa, Bruno Coelho and Valério Ribeiro
Signals 2021, 2(1), 122-137; https://doi.org/10.3390/signals2010011 - 9 Mar 2021
Cited by 10 | Viewed by 3984
Abstract
Currently, space debris represents a threat for satellites and space-based operations, both in-orbit and during the launching process. The yearly increase in space debris represents a serious concern to major space agencies leading to the development of dedicated space programs to deal with [...] Read more.
Currently, space debris represents a threat for satellites and space-based operations, both in-orbit and during the launching process. The yearly increase in space debris represents a serious concern to major space agencies leading to the development of dedicated space programs to deal with this issue. Ground-based radars can detect Earth orbiting debris down to a few square centimeters and therefore constitute a major building block of a space debris monitoring system. New radar sensors are required in Europe to enhance capabilities and availability of its small radar network capable of tracking and surveying space objects and to respond to the debris increase expected from the New Space economy activities. This article presents ATLAS, a new tracking radar system for debris detection located in Portugal. It starts by an extensive technical description of all the system components followed by a study that estimates its future performance. A section dedicated to waveform design is also presented, since the system allows the usage of several types of pulse modulation schemes such as LFM and phase coded modulations while enabling the development and testing of more advanced ones. By presenting an architecture that is highly modular with fully digital signal processing, ATLAS establishes a platform for fast and easy development, research, and innovation. The system follows the use of Commercial-Off-The-Shelf technologies and Open Systems which is unique among current radar systems. Full article
(This article belongs to the Special Issue Signal Processing in Modern Radars)
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16 pages, 5890 KiB  
Article
Exploiting the Low Doppler Tolerance of Noise Radar to Perform Precise Velocity Measurements on a Short Set of Data
by Christoph Wasserzier
Signals 2021, 2(1), 25-40; https://doi.org/10.3390/signals2010003 - 21 Jan 2021
Cited by 2 | Viewed by 2118
Abstract
The extraction of velocity information from radar data by means of the Doppler effect is the driving factor for the investigations presented in this paper. A method for the quantification of the Doppler tolerance in continuous emission (CE) noise radar is introduced, addressing [...] Read more.
The extraction of velocity information from radar data by means of the Doppler effect is the driving factor for the investigations presented in this paper. A method for the quantification of the Doppler tolerance in continuous emission (CE) noise radar is introduced, addressing a current lack in literature within the frame of CE noise radars. It is shown that noise radar is highly sensitive to the Doppler effect, an issue that often results in a low Doppler tolerance especially for long coherent integration intervals. In general, the Doppler sensitivity is considered as a drawback but, in this paper, along with the absence of range-Doppler coupling in noise radar, it is turned into an advantage allowing for a very precise Doppler estimation. This new signal processing approach for Doppler extraction is detailed and its feasibility is proven on the basis of experimental data. The presented method requires much less data, i.e., target illumination time, than conventional Doppler analyses and, therefore, is beneficial in terms of radar resource management. Full article
(This article belongs to the Special Issue Signal Processing in Modern Radars)
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