Special Issue "Radar Signal Processing for Target Tracking"
Deadline for manuscript submissions: 31 January 2021.
Interests: The field of statistical signal processing with applications to radar and sonar.
Interests: The field of statistical signal processing with applications to synthetic aperture radar and synthetic aperture sonar.
Special Issues and Collections in MDPI journals
Special Issue in Remote Sensing: Exploitation of Synthetic Aperture Radar Targets Velocities
Interests: The field of statistical signal processing with applications to sensor networks, data fusion, radar, and network analytics.
Interests: Advanced radar signal processing algorithms; MIMO radars; passive radar systems and micro-Doppler analysis; extraction and classification.
Last-generation radar systems are provided with a considerable abundance of computation power, which was inconceivable a few decades ago and has led to more and more sophisticated processing schemes at different system levels. In addition, technological development has allowed for a reduction in the costs of remote sensing devices and an increasing proliferation of sensing systems for both civilian and military applications facing challenging scenarios, which may include outliers, intentional interference, etc. In this context, one of the main tasks accomplished by a radar system is the active/passive tracking of multiple targets. Such a function can be fed by either compressed data, namely, detections along with the associated rough measurements at the output of the signal processing unit, or raw data at the output of the matched filter (track-before-detect paradigm and/or synthetic aperture radar tracking) and collected by means of sensor networks or multistatic radar systems with either a fusion center or distributed tracking architecture. Additionally, realistic and outlier unexpected effects may be detrimental to some model assumptions, paving the way to a need for (and possible integration with) data-driven approaches. Finally, it is important to highlight that tracking functions may play a primary role in several operating contexts as, for instance, space debris monitoring (due to high traffic density of satellites), tracking of icebergs (which are very spread because of climate changes), UAV (or agile targets) detection and tracking, etc.
This Special Issue is focused on the design of modern tracking algorithms for multiple targets that take advantage of both enhanced available computational power and recent approaches to statistical signal processing based upon machine learning and/or compressed sensing over possibly distributed system architectures.
Prof. Danilo Orlando
Dr. Filippo Biondi
Dr. Domenico Ciuonzo
Dr. Carmine Clemente
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 papers will be 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 2200 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.
- Target Tracking for multistatic/MIMO radar
- Bearing-only tracking
- Tracking in sensor networks
- LOCALIZATION Algorithms
- Track-before-detect algorithms for multiple targets in conventional radars
- Track-before-detect algorithms for synthetic aperture radar
- Compressed-sensing-based tracking algorithms
- Jamming platform tracking algorithms
- Machine/Deep learning approaches to multiple targets tracking
- Tracking space debris for space situational awareness (SSA) by radar and Inverse-SAR (ISAR)
- Tracking icebergs by SAR multi-temporal images
- Tracking of agile/fast-moving targets
- Tracking of targets with kinematic characterized by transitories.