Advances in Radar Systems for Target Detection and Tracking (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 4418
Special Issue Editors
Interests: radar target detection and tracking; signal detection and estimation
Interests: radar resource-aware management and scheduling; radar waveform optimization as well as radar signal processing for target detection, tracking and localization
Special Issues, Collections and Topics in MDPI journals
Interests: radar-based target tracking; UWB radar target detection
Special Issues, Collections and Topics in MDPI journals
Interests: Radar signal processing; sensor network; target tracking; MIMO system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Radar systems allow the detection and tracking of targets of interest at any time and in all weathers and have been extensively applied in the remote-sensing community to applications such as geological exploration, disaster forecasting, traffic monitoring, urban planning, environmental sciences, hydrology, littoral zones, and oceans. Complicated target characteristics, complex environments, and refined processing requirements have presented great challenges in radar target detection, tracking, and recognition. Much work has been carried out with airborne, spaceborne, ground-based, and shore-based radar systems, and impressive progress has also been made in studying the methodology behind them. However, there is still a great deal of room for further research on radar target detection, tracking, and recognition. Therefore, it is necessary to summarize the recent research progress in radar systems for target detection and tracking.
This Special Issue aims to collect and highlight outstanding contributions that cover “Advances in Radar Systems for Target Detection and Tracking”, that can include (but are not limited to) the following topics:
- Radar target detection, tracking, and imaging in ground/sea environments;
- Radar target detection, tracking, and imaging in interference situations;
- Joint radar sensor registration and target tracking in complex environments;
- Radar resource management for target detection and tracking in complex environments;
- Detection and tracking using SAR/InSAR images with applications in geology;
- Combination of advanced signal processing and artificial intelligence techniques;
- New radar systems, such as MIMO radar, distributed radar, dual multi-base radar, and so on;
- Short-range radars, especially in the context of consumer (indoor environments) and automotive applications;
- Deep learning-based target detection and tracking.
Dr. Xiaolong Li
Dr. Chenguang Shi
Dr. Shisheng Guo
Prof. Dr. Junkun Yan
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.
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Keywords
- radar system design
- target detection
- target tracking
- radar resource optimization and scheduling
- signal and image processing
- machine (deep) learning
- environment monitoring (maritime, terrestrial, urban area, etc.)
- synthetic aperture radar
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Clutter-sensing Driven STAP Approach for Airborne Subarray-level Digital Array
Authors: Youai Wu; Bo Jiu; Wenqiang Pu; Hao Zheng; Kang Li; Hongwei Liu
Affiliation: Xidian University
Abstract: The subarray-level digital array effectively diminishes computational complexity and sample demand of space-time adaptive processing (STAP), thus finding extensive application in many airborne platforms. Nonetheless, airborne subarray-level digital array radar still encounters pronounced performance deterioration in highly heterogeneous clutter environments due to inadequate training samples. To address this issue, a clutter-sensing driven STAP approach for the airborne subarray-level digital array is proposed in this paper. Firstly, we derive the signal model of subarray-level clutter sensing in detail and then further analyze the influence of sidelobe characteristics of the conventional sub-array joint beam on clutter sensing. Secondly, a sub-array joint beam optimization model is proposed, which optimizes the sub-array joint beam into a wide beam with flat-top characteristics to improve the clutter sensing performance in the beam sidelobe region. Finally, we decompose the complex optimization problem into two subproblems and then relax them into the low sidelobe shaped-beam pattern synthesis problem and second-order cone programming problem, which can be effectively solved. The effectiveness of the proposed approach is validated in a real clutter environment through numerical experiments.