scholarly journals Editorial for Special Issue “Radar Imaging in Challenging Scenarios from Smart and Flexible Platforms”

2020 ◽  
Vol 12 (8) ◽  
pp. 1272 ◽  
Author(s):  
Stefano Perna ◽  
Francesco Soldovieri ◽  
Moeness Amin
Keyword(s):  
Radar Imaging ◽  
Electromagnetic Modeling ◽  
Ground Vehicles ◽  
Area Of Interest ◽  
Microwave Radar ◽  
Radar Systems ◽  
Processing Strategies ◽  
Effective Signal ◽  
Security Surveillance ◽  
Remotely Sense

Microwave radar imaging plays a key role in several civilian and defense applications, such as security, surveillance, diagnostics and monitoring in civil engineering and cultural heritage, environment observation, with particular emphasis on disasters and crisis management, where it is required to remotely sense the area of interest in a timely, safe and effective way. To address these constraints, a technological opportunity is offered by radar systems mounted onboard smart and flexible platforms, such as ground-based ones, airplanes, helicopters, drones, unmanned aerial and ground vehicles (UAV and UGV). For this reason, radar imaging based on data collected by such platforms is gaining interest in the remote sensing community. However, a full exploitation of smart and flexible radar systems requires the development and use of image formation techniques and reconstruction approaches able to exploit and properly deal with non-conventional data acquisition configurations. The other main issue is related to the need to operate in challenging environments, and still deliver high target detection, localization and tracking. These environments include through the wall imaging, rugged terrain and rough surface/subsurface. In these cases, one seeks mitigation of the adverse effects of clutter and multipath via the implementation of effective signal processing strategies and electromagnetic modeling.

scholarly journals Rapid jamming avoidance in biosonar

2006 ◽  
Vol 274 (1610) ◽  
pp. 651-660 ◽  
Author(s):  
Erin H Gillam ◽  
Nachum Ulanovsky ◽  
Gary F McCracken
Keyword(s):  
Abrupt Change ◽  
Considerable Effort ◽  
Echolocation Call ◽  
Tadarida Brasiliensis ◽  
Radar Systems ◽  
Spectral Shifts ◽  
Processing Strategies ◽  
Jamming Avoidance ◽  
Sonar Systems ◽  
Behavioural Correlations

The sonar systems of bats and dolphins are in many ways superior to man-made sonar and radar systems, and considerable effort has been devoted to understanding the signal-processing strategies underlying these capabilities. A major feature determining the efficiency of sonar systems is the sensitivity to noise and jamming signals. Previous studies indicated that echolocating bats may adjust their signal structure to avoid jamming (‘jamming avoidance response’; JAR). However, these studies relied on behavioural correlations and not controlled experiments. Here, we provide the first experimental evidence for JAR in bats. We presented bats ( Tadarida brasiliensis ) with ‘playback stimuli’ consisting of recorded echolocation calls at one of six frequencies. The bats exhibited a JAR by shifting their call frequency away from the presented playback frequency. When the approaching bats were challenged by an abrupt change in the playback stimulus, they responded by shifting their call frequencies upwards, away from the playback. Interestingly, even bats initially calling below the playback's frequency shifted their frequencies upwards, ‘jumping’ over the playback frequency. These spectral shifts in the bats' calls occurred often within less than 200 ms, in the first echolocation call emitted after the stimulus switch—suggesting that rapid jamming avoidance is important for the bat.

Microwave Radar Imaging for Monitoring Dysphagia

2018 ◽  
Author(s):  
Zhenhua Hu ◽  
Huihai Wang ◽  
Lin Sun ◽  
Rui Wu ◽  
Xiaofeng Zhang ◽  
...  
Keyword(s):  
Radar Imaging ◽  
Microwave Radar

Forward-Looking Radar Imaging: A Comparison of Two Data Processing Strategies

2017 ◽  
Vol 10 (2) ◽  
pp. 562-571 ◽  
Author(s):  
Francesco Soldovieri ◽  
Gianluca Gennarelli ◽  
Ilaria Catapano ◽  
D. Liao ◽  
T. Dogaru
Keyword(s):  
Data Processing ◽  
Radar Imaging ◽  
Processing Strategies ◽  
Forward Looking

scholarly journals Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2566
Author(s):  
Daniel H. Stolfi ◽  
Matthias R. Brust ◽  
Grégoire Danoy ◽  
Pascal Bouvry
Keyword(s):  
Dynamic Systems ◽  
Autonomous Vehicles ◽  
Water Surface ◽  
Mobility Model ◽  
Collaborative Approach ◽  
Ground Vehicles ◽  
Area Of Interest ◽  
Covered Area ◽  
Different Types ◽  
Unmanned Autonomous Vehicles

In this article, we propose a new mobility model, called Attractor Based Inter-Swarm collaborationS (ABISS), for improving the surveillance of restricted areas performed by unmanned autonomous vehicles. This approach uses different types of vehicles which explore an area of interest following unpredictable trajectories based on chaotic solutions of dynamic systems. Collaborations between vehicles are meant to cover some regions of the area which are unreachable by members of one swarm, e.g., unmanned ground vehicles on water surface, by using members of another swarm, e.g., unmanned aerial vehicles. Experimental results demonstrate that collaboration is not only possible but also emerges as part of the configurations calculated by a specially designed and parameterised evolutionary algorithm. Experiments were conducted on 12 different case studies including 30 scenarios each, observing an improvement in the total covered area up to 11%, when comparing ABISS with a non-collaborative approach.

scholarly journals STRATEGIES FOR PS PROCESSING OF LARGE SENTINEL-1 DATASETS

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 99-106
Author(s):  
M. Evers ◽  
H. Hammer ◽  
A. Thiele ◽  
K. Schulz
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
High Frequency ◽  
Critical Infrastructure ◽  
Active Tectonics ◽  
Sar Images ◽  
Surface Deformations ◽  
Area Of Interest ◽  
Processing Strategies

Abstract. Several advanced DInSAR techniques have been used to map surface deformations due to volcanism, active tectonics, landslides, subsidence, and uplift as well as to monitor the deformation of critical infrastructure such as bridges and dams. Recently, studies have explored the potential of these techniques to be integrated into a permanently operating monitoring system. ESA’s Sentinel-1 satellites have been providing SAR images for such a purpose since 2014. Nowadays, it is easy to access more than 230 SAR images of any area of interest, and update this dataset every six days with a new image.Due to the high frequency of the data acquisition, the question arises on how to best handle such a dataset. Is it suitable to always consider the whole available dataset or would a partial processing of the dataset and combining the results at a later point be more appropriate? To answer these questions, three different processing strategies are investigated in this paper. The first is a continuously growing dataset and for the second and third strategy, the dataset was divided into sub-stacks with and without overlap. In this study, the key parameters of each strategy are analyzed. In addition, the size of the sub-stacks is varied and the results are compared.

UAV Radar imaging for cultural heritage: a first prototype

2020 ◽  
Author(s):  
Carlo Noviello ◽  
Giuseppe Esposito ◽  
Ludeno Giovanni ◽  
Gennarelli Gianluca ◽  
Fasano Giancarmine ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Cultural Heritage ◽  
Scattering Problem ◽  
Radar Imaging ◽  
Radar System ◽  
Unmanned Aircraft ◽  
Electromagnetic Spectrum ◽  
Differential Gps ◽  
Radar Systems

<p>Nowadays, the use of Unmanned Aircraft Vehicle (UAV) based sensing technologies is widely considered in most disparate fields, including archaeology and cultural heritage inspections. The main advantages offered by UAV technology are the possibility of investigating large areas in a very short time,  the simplification of the organization and implementation of the measurement campaigns thus reducing their costs, and finally the increasing availability of autonomous systems that push more and more towards plug and fly solutions.</p><p>The widespread remote sensing technologies mounted on-board UAV systems are essentially optical, thermal and multi-spectral sensors, which are passive technologies designed to measure the signal emitted into the optical and (near and far) infrared portions of the electromagnetic spectrum. These technologies exploit techniques like aero-photogrammetry to get high resolutions images of the surface features of the investigated scene and provide useful information to evaluate structural and material degradation, such as surface cracks, humid zones and biological patinas.</p><p>Radar systems represent a further technological solution, which exploits the penetration capability into non-metallic media of the microwaves, thus offering the key advantage to perform surface and sub-surface inspections. However, UAV based radar systems are still under development due to the numerous challenges related to the acquisition modality and data processing. Being radar an active technology, both transmitting and receiving units must be installed on-board the UAV and this introduces not trivial issues related to payload and assets constrains. Moreover, in order to obtain focused images, a high precision knowledge of the UAV position during its flight must be available.</p><p>As a contribution to this topic, an ultra-light radar system mounted on a micro drone has been developed and its imaging capabilities have been assessed in controlled conditions. The UAV radar imaging system is an enhanced version of that presented in [1]. Specifically, the main components of the assembled prototype are the UAV DJI F550- hexacopter platform and the Pulson P440 radar sensor. The radar system has been equipped with two log-periodic antennas pointed at nadir, and it operates in the frequency range of [3.1, 4.8] GHz. Moreover, to accurately reconstruct the UAV platform positioning, the Differential GPS technology has been also implemented by exploiting two GPS receivers placed one onboard the platform and the other one in a fixed ground station. Finally, the data processing is cast as the solution of an inverse scattering problem by exploiting the Born Approximation to model the wave-material interaction. The results of some flight tests will be presented at the conference.</p><p>[1] G. Ludeno, I. Catapano, A. Renga, A. Vetrella, G. Fasano, and F. Soldovieri, “Assessment of a micro-UAV system for microwave tomography radar imaging”, Remote Sensing of Environment, vol 212, 2018, pp. 90-102.</p><p>Acknowledgment: The authors would like to thank the VESTA project “Valorizzazione E Salvaguardia del paTrimonio culturAle attraverso l’utilizzo di tecnologie innovative” by which the present work has been financed.</p><p> </p>

Sign in / Sign up

Export Citation Format

Share Document