scholarly journals Advanced cognitive networked radar surveillance

Author(s):  
Mohammed Jahangir ◽  
Chris J Baker ◽  
Michail Antoniou ◽  
Benjamin Griffin ◽  
Alessio Balleri ◽  
...  
Keyword(s):  
2016 ◽  
Vol 54 (12) ◽  
pp. 6930-6939 ◽  
Author(s):  
Shigeharu Shimamura ◽  
V. Chandrasekar ◽  
Tomoo Ushio ◽  
Gwan Kim ◽  
Eiichi Yoshikawa ◽  
...  

Author(s):  
Brady Anderson ◽  
Jaron Ellingson ◽  
Michael Eyler ◽  
David Buck ◽  
Cameron K. Peterson ◽  
...  

2013 ◽  
Author(s):  
Kaitlyn Beaudet ◽  
Lauren Crider ◽  
Douglas Cochran
Keyword(s):  

2008 ◽  
Vol 25 (10) ◽  
pp. 1755-1767 ◽  
Author(s):  
V. Chandrasekar ◽  
S. Lim

Abstract A system for reflectivity and attenuation retrieval for rain medium in a networked radar environment is described. Electromagnetic waves backscattered from a common volume in networked radar systems are attenuated differently along the different paths. A solution for the specific attenuation distribution is proposed by solving the integral equation for reflectivity and attenuation. The set of governing integral equations describing the backscatter and propagation of common resolution volume are solved simultaneously with constraints on total path attenuation. The proposed algorithm is evaluated based on simulated X-band radar observations synthesized from S-band measurements collected by the Colorado State University–University of Chicago–Illinois State Water Survey (CSU–CHILL) radar. Retrieved reflectivity and specific attenuation using the proposed method show good agreement with simulated reflectivity and specific attenuation. Preliminary demonstration of the network-based retrieval using data from the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) IP-1 radar network are also presented.


2021 ◽  
Author(s):  
Alan Bannon ◽  
Adrien Rapeaux ◽  
Timothy Constandinou

This paper describes Tiresias, a low-cost, unobtrusive networked radar system designed to monitor vulnerable patients in domestic environments and provide high quality behavioural and health data. Dementia is a disease that affects millions worldwide and progressively degrades an individual's ability to care for themselves. Eventually most people living with dementia will need to reside in assisted living facilities as they become unable to care for themselves. Understanding the effects dementia has on ability to self-care and extending the length of time people living with dementia can remain living independently are key goals of dementia research and care. The networked radar system proposed in this paper is designed to provide high quality behavioural and health data from domestic environments. This is achieved using multiple radar sensors networked together with their data outputs integrated and processed to produce high confidence measures of position and movement. It is hoped the data produced by this system will both provide insights into how dementia progresses, and also help monitor vulnerable individuals in their own homes, allowing them to remain independent longer than would otherwise be possible.<br>


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