UAV detection, signatures and classification with radar
Francesco Fioranelli, University of Glasgow,
Julien Le Kernec, University of Glasgow,
Small UAVs and drones have become more and more available for civilian and commercial uses: leisure, filming, agriculture, surveying, search and rescue, delivery.However, at the same time, misuses of the these platforms have risen: privacy violation, collision hazard (people, UAVs, larger aircraft), transport of illicit material, potential terrorist attacks.Radar could provide long-range sensing capabilities of small drones, regardless of weather and light conditions, but conventional air surveillance radar are designed for larger and faster targets, flying at higher altitude. Therefore,research effort is needed to characterise the radar signatures of this emerging class of targets and develop systems and signal processing suitable for this specific issue. This section will look at the most recent development in these areas.
Marine target detection
Erma Road 188, 402 Section, Yantai, Shandong
Detection of low-observable target in sea clutter is an important issue for both civilian and military applications, which is one of the key problems in the field of modern radars. Targets covered by sea clutter with low observability are main threats to future sea defense system and detection of these targets gives a severe challenge to radar survivability. The detection process is difficult due to the low-observable marine targets, such as low attitude, slow moving, small size, and highly maneuvering targets as well as the complex sea environment. Therefore, to improve the detection performance of marine targets, the characteristics of sea clutter and maneuverability of target and novel signal processing techniques with different radar systems should be discussed.
Several topics of interest include, but are not limited to, the following,
Novel radar systems and applications for marine target detection, such as OTHR, MIMO radar, passive radar, space radar, distributed and multi-static radar, airborne radar, etc..
Marine target and sea clutter signatures and analysis.
Signal and data processing for marine target detection and estimation, clutter suppression, knowledge aided adaptive processing, CFAR, SAR, ISAR.
Maritime Intelligent information processing for big data, machine learning for data processing.
Radar medical applications for assisted living
Dr. Julien Le Kernec, University of Glasgow, Communications, Sensing and Imaging group
Dr. Francesco Fioranelli, University of Glasgow, Communications, Sensing and Imaging group
Prof. Olivier Romain, University Cergy-Pontoise, ETIS-ASTRE,
Growing life expectancy and increasing incidence of simultaneous multiple chronic health conditions are posing a challenge to the sustainability of public health systems and to the wellbeing of the older people in our society. In recent years, significant research work has addressed these challenges with the help of assistive technologies, for example to detect critical events such as stroke or falls, and to monitor automatically the activity patterns of vulnerable individuals, both to infer information on their health conditions from these patterns, and to detect possible anomalies. So the whole area of radar medical applications now more than ever will play an increasingly important role in assisted living
Millimeter Wave Radar and Terahertz Radar
Weidong Hu, Beijing Institute of Technology, Beijing, China
Millimeter wave radars have long been deployed extensively in many applications.Recently terahertz radars have been increasingly of great interests for target detection,remote sensing, ViSAR imaging,security check,nondestructive testing, anti-collision, medical examination and other industry applications. Meanwhile, the key components such as antennas, sources, amplifiers and sub-systems have been developed in both the millimeter wave and terahertz bands while the imaging algorithms have also been investigated for the dedicated applications. In addition, some new technologies have emerged such as sparse array, MIMO,Quantum cascade laser,metamaterial,microwave photons,aperture coded imaging etc for radar detection. This session aims to update the state of the art progress in these areas.
Deep Learning for SAR Automatic Target Recognition
Feng XU,Fudan University Key Lab for Information Science of Electromagnetic Waves (MoE)
Deep learning has revolutionized computer vision areas. SAR automatic target recognition (ATR) resembles computer vision in many aspects and thus can be benefited from advances of deep learning technologies. Researches in this direction has grown exponentially in recent years. The purpose of the special session is to build a platform for exchanging most recent progresses in deep learning-aided SAR ATR.
Special Session 6
Inverse Synthetic Aperture Radar (ISAR) and application.
Yong Wang, Research Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin, 150001, China
Inverse synthetic aperture radar (ISAR) can be used to generate high-resolution radar images from long distance. Because of its high value both in the military and civil use, the ISAR imaging technique has been studied widely in the past few years. The purpose of the special session is to build a platform for the study of theory and application of ISAR techniques.
Jianxin Yi, Wuhan University,
Passive radar, also known as passive coherent location (PCL) or passive covert radar, is an emerging and highly promising technology, which may be used in many application areas in future. Passive radar exploits the availability of so-called "illuminators-of-opportunity" in the environment for the illumination of targets. The key benefits of passive radar are, apart from its covert operation, the low-cost nature due to saving on expensive transmitters as well as the detection of low-altitude and slow-speed targets. The researches on passive radar are increasing in a high speed. This special session tries to present the state of the art of the passive radar from various perspectives. All the topics related to passive radar, such as passive radar fundamentals, illuminators of opportunity, reference signal extraction, clutter cancellation, bistatic/multistatic localization and tracking, passive SAR and ISAR, experimental researches, demonstrators, etc., are welcome. New ideas and insights are especially encouraged. Thank you for your submissions and contributions.
Topic:Understanding flight behavior of animals with radar and lidar
Dr. Hongqiang Feng, Henan Academy of Agricultural Sciences, Institute of Plant Protection
Email: email@example.com; firstname.lastname@example.org
Dr. Haikou Wang, Australian Plague Locust Commission
Dr. Gao Hu, Nanjing Agriculture University, College of Plant Protection
Free flying animals, such as insects, bats and birds, register themselves on radar as clear air dot angels. The clear air echoes need to avoid generally in most areas of radar application, but invaluable to biologists. Radars have been deployed to observe flying animals more than a half century, and revealed some flying behaviors of airborne animals, like navigation and orientation, otherwise would still have been mystery. Military radars first discovered reflections from flying insects, and weather radars have been widely used for monitoring bird migration at large scale. Specific designed special-purpose radars have been used for observing flight behavior of migrating insects. Lidar is similar to radar in detecting free flying insects and could provide better range resolution. Multi-band lidar may provide more useful information for species or sex identification. This special session intends to bring biologists, physicists, engineers together and discuss biological demands and technical solutions in understanding flight behavior of animals with emerging radar and lidar technology.