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The CASA Integrated Project 1 Networked Radar System

Francesc Junyent, V. Chandrasekar, D. McLaughlin, E. Insanic, N. Bharadwaj
2010 Journal of Atmospheric and Oceanic Technology  
This paper describes the Collaborative Adaptive Sensing of the Atmosphere (CASA) Integrated Project 1 (IP1) weather radar network, the first distributed collaborative adaptive sensing test bed of the Engineering  ...  Research Center for Collaborative Adaptive Sensing of the Atmosphere.  ...  Luko Krnan of Dynamic Sensing Technologies for his contributions towards the integration of the data acquisition solution in the radar nodes and field work support.  ... 
doi:10.1175/2009jtecha1296.1 fatcat:ojfhnduvtzgxrl3l7xr2ers3gi

Reflectivity retrieval in a networked radar environment: Demonstration from the CASA IP1 radar network

S. Lim, V. Chandrasekar, P. Lee, A.P. Jayasumana
2007 2007 IEEE International Geoscience and Remote Sensing Symposium  
A network-based reflectivity retrieval technique has been developed within the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA).  ...  This paper presents the preliminary demonstration of the network-based retrieval using data from the first Integration Project (IP1) radar network in Oklahoma.  ...  The Engineering Research Center for CASA was recently founded to create the underlying scientific and engineering basis for a new paradigm of Distributed Collaborative Adaptive Sensing (DCAS) radars applied  ... 
doi:10.1109/igarss.2007.4423492 dblp:conf/igarss/LimCLJ07 fatcat:xzkkqt7y2bbb5if353nxxarzh4

Quantitative Precipitation Estimation in the CASA X-band Dual-Polarization Radar Network

Yanting Wang, V. Chandrasekar
2010 Journal of Atmospheric and Oceanic Technology  
This paper presents the sensing aspects and performance evaluation of the quantitative precipitation estimation (QPE) system in an X-band dual-polarization radar network developed by the Collaborative  ...  The K dp field is robustly acquired using an adaptive estimation method, and a simple R(K dp ) relation is used to perform precipitation estimation in this X-band radar network.  ...  Masayuki Maki of NIED, Japan, for sharing the MP-X QPE evaluation results. The authors acknowledge Dr. Jerry Brotzge for his continued encouragement for implementing the QPE system in CASA, and Dr.  ... 
doi:10.1175/2010jtecha1419.1 fatcat:yhosnjfxqbhnbim42lpi6okaqy

Networks and Telecommunications [chapter]

Eric Waxvik, Samuel Chun
2010 (ISC)2 Press  
Socrate is hosted in the CITI laboratory of INSA Lyon  ...  or in a distributed manner with other gas meters, to use another frequency (or even protocol) to communicate. • Radars: With numerical communications, passive radar technology is changing, these radars  ...  radio systems, using chips from Leti and/or Lyrtech software radio boards 1 . • Development of a smart node: a low-power Software-Defined Radio node adapted to WSN applications. • Methodology clues and  ... 
doi:10.1201/b10388-6 fatcat:iaho752lo5ba5mzrpygspfx4ra

Principles of High-Resolution Radar Network for Hazard Mitigation and Disaster Management in an Urban Environment

V. CHANDRASEKAR, Haonan CHEN, Brenda PHILIPS
2018 Journal of the Meteorological Society of Japan  
15 The Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) Worth (DFW) Urban Demonstration Network consists of a combination of high resolution 17 X-band radar network and a National Weather  ...  , and 58 dynamic sensing paradigm, called Distributed Collaborative Adaptive Sensing, or DCAS in 59 short, to overcome the resolution and coverage limitations of traditional weather radar 60 network (McLaughlin  ...  Fig. 1 .Fig. 2 . 12 Growth rates of urban agglomerations by size class in 2014. The simplified architecture of a Distributed Collaborative Adaptive Sensing (DCAS) system.  ... 
doi:10.2151/jmsj.2018-015 fatcat:q2mxjmaa2ngd7aofmdaw4vqfey

Short wavelength technology and the potential for distributed networks of small radar systems

David J. McLaughlin, V. Chandrasekar
2009 2009 IEEE Radar Conference  
Dense networks of small radars-unlike today's large installations-can defeat Earth curvature blockage, thus providing more low-altitude data and meeting the diverse needs of end users.  ...  This work is supported primarily by the Engineering Research Center program of the National Science Foundation under NSF Cooperative Agreement EEC-0313747.  ...  To investigate the dense network paradigm and collaborative adaptive sensing concept, the participants of the CASA project designed, fabricated, and deployed a four-radar test bed in Oklahoma.  ... 
doi:10.1109/radar.2009.4977094 fatcat:agcz3hl2nvgpdj5kdnql6ini6u

Short-Wavelength Technology and the Potential For Distributed Networks of Small Radar Systems

David McLaughlin, David Pepyne, V. Chandrasekar, Brenda Philips, James Kurose, Michael Zink, Kelvin Droegemeier, Sandra Cruz-Pol, Francesc Junyent, Jerald Brotzge, David Westbrook, Nitin Bharadwaj (+17 others)
2009 Bulletin of The American Meteorological Society - (BAMS)  
Dense networks of small radars-unlike today's large installations-can defeat Earth curvature blockage, thus providing more low-altitude data and meeting the diverse needs of end users.  ...  This work is supported primarily by the Engineering Research Center program of the National Science Foundation under NSF Cooperative Agreement EEC-0313747.  ...  To investigate the dense network paradigm and collaborative adaptive sensing concept, the participants of the CASA project designed, fabricated, and deployed a four-radar test bed in Oklahoma.  ... 
doi:10.1175/2009bams2507.1 fatcat:4bbj5e6o7bae5b6lfbhw5p6lna

The Global High Frequency Radar Network

Hugh Roarty, Thomas Cook, Lisa Hazard, Doug George, Jack Harlan, Simone Cosoli, Lucy Wyatt, Enrique Alvarez Fanjul, Eric Terrill, Mark Otero, John Largier, Scott Glenn (+20 others)
2019 Frontiers in Marine Science  
Partnerships have been established to coordinate and collaborate on a single global HFR network (http://global-hfradar.org/).  ...  The main product of HFR networks are continuous maps of ocean surface currents within 200 km of the coast at high spatial (1-6 km) and temporal resolution (hourly or higher).  ...  A CODAR Tsunami Detection Software Package has recently been also installed on the Sagres HFR station as part of the OCASO project in order to develop tsunami detection algorithms that are adapted to the  ... 
doi:10.3389/fmars.2019.00164 fatcat:b3bufvqkzrehrjb2wb2hod7e4e

Retrieval of Reflectivity in a Networked Radar Environment

V. Chandrasekar, S. Lim
2008 Journal of Atmospheric and Oceanic Technology  
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.  ...  A system for reflectivity and attenuation retrieval for rain medium in a networked radar environment is described.  ...  Section 4 presents evaluation of the methodology proposed in this paper and preliminary application to data collected in the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) radar network  ... 
doi:10.1175/2008jtecha1008.1 fatcat:vw74ntwfrnhrraohtxhtzdefzm

A Neural Network Approach to Smarter Sensor Networks for Water Quality Monitoring

Edel O'Connor, Alan F. Smeaton, Noel E. O'Connor, Fiona Regan
2012 Sensors  
We use rainfall radar images and information from a water depth sensor as input to a neural network (NN) to dictate the sampling frequency of a phosphate analyzer at the River Lee in Cork, Ireland.  ...  of the sensor network.  ...  In the overall vision of WSNs in environmental monitoring, a community of sensor nodes is based upon a number of sensing modalities.  ... 
doi:10.3390/s120404605 pmid:22666048 pmcid:PMC3355430 fatcat:3ha42tpmhneqvey67ovmfpkie4

DEFACTO: Distributed Event ClassiFicATiOn in Wireless Sensor Networks

Rawad Abou Assi, Mohamed K. Watfa
2009 International Journal of Engineering and Technology  
Sensing is a fundamental function in wireless sensor networks. Researchers have built WSN platforms with a wide spectrum of sensors, ranging from simple thermostats to micro power impulse radars.  ...  In the classification phase, the network detects and classifies events in a distributed fashion using a voting-like technique in which individual nodes contribute to the classification.  ...  [1] introduced a collaborative signal processing framework for sensor networks using location-aware routing and collaborative signal processing.  ... 
doi:10.7763/ijet.2009.v1.7 fatcat:vt546qqevva7tmqddekmu7kqqy

Autonomous Vehicular Networks: Perspective and Open Issues [article]

Tom H. Luan, Yao Zhang, Lin Cai, Yilong Hui, Changle Li, Nan Cheng
2021 arXiv   pre-print
In this article, we reconsider the problem of vehicle-to-vehicle communications when the network is composed of AVs.  ...  In the meantime, with the recent advances of artificial intelligence and 5G cellular networks, how should the fundamental framework of VANET evolve to utilize the new technologies?  ...  Thus the configuration adaptation leaves space for the exploitation of collaborative perception (sharing sensing information) and collaborative perception (sharing AI networks). C.  ... 
arXiv:2112.01154v1 fatcat:tmnu6uopgrgnthb5aedy5ftvjm

Real-Time Implementation of a Network-Based Attenuation Correction in the CASA IP1 Testbed

S. Lim, V. Chandrasekar, P. Lee, A. P. Jayasumana
2011 Journal of Atmospheric and Oceanic Technology  
A networkbased reflectivity retrieval technique has been developed for the Collaborative Adaptive Sensing of the Atmosphere (CASA) system, which is a radar network that can observe a weather event simultaneously  ...  This paper presents the performance of the network-based attenuation correction system in terms of the metrics of attenuation correction as well as computational performance using CASA Integrated Project  ...  of the Distributed Collaborative Adaptive Sensing (DCAS) radars applied to hazardous localized weather detection, tracking, and predicting.  ... 
doi:10.1175/2010jtecha1441.1 fatcat:2dkn66fga5bkxguzgunynhkouy

Remote Sensing of Weather Hazards Using a Low-Cost and Minimal Infrastructure Off-the-Grid Weather Radar Network

Jorge M. Trabal, Jose G. Colom-Ustariz, Sandra L. Cruz-Pol, Gianni A. Pablos-Vega, David J. McLaughlin
2013 IEEE Transactions on Geoscience and Remote Sensing  
Engineering Research Center for Collaborative and Adaptive Sensing of the Atmosphere (CASA) uses low-cost networks of simple, single-polarization radars that are not dependent on existing infrastructure  ...  data from a set of rain gauges located in Puerto Rico.  ...  Rees for her help with the educational aspects of the project, and Dr. B. Donovan for the initial vision of the OTG radar system. Special thanks are given to Prof. E.  ... 
doi:10.1109/tgrs.2012.2214227 fatcat:u5wafysgvvctzmlvwgacki3zrm

Integrating Sensing and Communication in Cellular Networks via NR Sidelink [article]

Dariush Salami, Ramin Hasibi, Stefano Savazzi, Tom Michoel, Stephan Sigg
2021 arXiv   pre-print
To process the distributed data, we propose a graph based encoder to capture spatio-temporal features of the data and propose four approaches for multi-angle learning.  ...  RF-sensing, the analysis and interpretation of movement or environment-induced patterns in received electromagnetic signals, has been actively investigated for more than a decade.  ...  When multiple UEs collaborate by jointly sensing the same situation, the neural network can be also trained, or updated periodically, using a distributed approach that leverages the NR-sidelink, namely  ... 
arXiv:2109.07253v1 fatcat:23qdss4mgfhszmhtntmlfv2z4e
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