Results 301 to 310 of about 6,657,503 (334)
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FEMINA POLITICA – Zeitschrift für feministische Politikwissenschaft, 2014
Bibliographie: Sgier, Lea: Networking under the Radar, 1-2014, S. 162-163.
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Bibliographie: Sgier, Lea: Networking under the Radar, 1-2014, S. 162-163.
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2019
In this chapter, we discuss the advantages of exploiting photonic techniques in radar networks. More in detail, we first review the specific requirements of radar networks, focusing in particular on the coherence requested to the radar signals at the different network nodes.
Sergio Pinna +4 more
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In this chapter, we discuss the advantages of exploiting photonic techniques in radar networks. More in detail, we first review the specific requirements of radar networks, focusing in particular on the coherence requested to the radar signals at the different network nodes.
Sergio Pinna +4 more
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Timeliness Constrained Task Scheduling for Multifunction Radar Network
IEEE Sensors Journal, 2019In this paper, considering the timeliness constrained tasks executed by heterogeneous radars, a multifunction radar network task scheduling problem is investigated.
Tuanwei Tian, Tianxian Zhang, L. Kong
semanticscholar +1 more source
Radar selection for single-target tracking in radar networks
2015 IEEE Radar Conference (RadarCon), 2015A sensor networks comprise a large number of sensor nodes collaboratively collecting information, carrying out simple computation with their onboard processing capabilities. In recent years, sensor selection has become an important problem in managing sensor networks.
null Xueting Li +4 more
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RADAR 2002, 2002
The networked radar air picture is built using input from radars in many different locations. In an ideal world, each radar can track every target continuously. However, the laws of physics do not permit this. Target fades, terrain blockage, and spurious signals all conspire to make the situation not ideal. As a result, in general, no one radar is able
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The networked radar air picture is built using input from radars in many different locations. In an ideal world, each radar can track every target continuously. However, the laws of physics do not permit this. Target fades, terrain blockage, and spurious signals all conspire to make the situation not ideal. As a result, in general, no one radar is able
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Compressed sensing radar surveillance networks
2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012We study the problem of sensor fusion in a simplified radar surveillance application. A potentially large number of narrowband radars with isotropic antennas monitor a two-dimensional area for an unknown number of targets. We use techniques from compressive sensing to distribute efficient projections of network observations, allowing for reconstruction
Aurora Schmidt +2 more
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IEEE Sensors Journal, 2019
Radar network has been a hot topic in recent years for the plenty of resources it can use, especially in tracking applications. A popular problem arises, that is how to improve the tracking performance with less system resources.
Xueting Li +4 more
semanticscholar +1 more source
Radar network has been a hot topic in recent years for the plenty of resources it can use, especially in tracking applications. A popular problem arises, that is how to improve the tracking performance with less system resources.
Xueting Li +4 more
semanticscholar +1 more source
Analysis of random radar networks
2008 42nd Asilomar Conference on Signals, Systems and Computers, 2008We introduce the notion of random radar networks to analyze the effect of geometry in distributed radar systems. We first analyze unistatic systems with a single receiver selected at random from the available group. We approximate the distribution of the individual signal-to-interference-plus-noise (SINR) at the sensors and find the corresponding mean ...
Rani Daher, Raviraj Adve
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2017
In distributed sensing applications, the nodes of a sensor network cooperatively detect and localize targets of interest. In particular, active multiple-input multipleoutput (MIMO) radar (AMR) uses multiple transceivers to transmit separable signals and receive the scattered returns, while passive MIMO radar (PMR) uses multiple receivers to receive the
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In distributed sensing applications, the nodes of a sensor network cooperatively detect and localize targets of interest. In particular, active multiple-input multipleoutput (MIMO) radar (AMR) uses multiple transceivers to transmit separable signals and receive the scattered returns, while passive MIMO radar (PMR) uses multiple receivers to receive the
openaire +1 more source