Results 291 to 300 of about 12,611,004 (335)
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HRRP recognition in radar sensor network
Ad Hoc Networks, 2017Abstract In this paper, several high-resolution range profile (HRRP) recognition approaches in radar sensor network (RSN) are investigated. First, we study HRRP target recognition in a radar. A decision rule based on the minimum resistor-average (MRA) distance criterion is established for HRRP sequence recognition.
Chengchen Mao, Jing Liang 0002
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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 C. Schmidt +2 more
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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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Adaptive JSPA in distributed colocated MIMO radar network for multiple targets tracking
IET radar, sonar & navigation, 2019In this study, the authors present a distributed resource-awareness colocated multiple-input-multiple-output radar network for multiple targets tracking.
Yan-Xi Lu +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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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 +2 more
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Proceedings of the 4th ACM SIGCOMM conference on Internet measurement, 2004
Knowledge of link specific traffic characteristics is important in the operation and design of wide area networks. Network tomography is a powerful method for measuring characteristics such as delay and loss on network-internal links using end--to--end active probes.
Yolanda Tsang +3 more
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Knowledge of link specific traffic characteristics is important in the operation and design of wide area networks. Network tomography is a powerful method for measuring characteristics such as delay and loss on network-internal links using end--to--end active probes.
Yolanda Tsang +3 more
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Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006., 2006
This paper describes the use of cognitive radar networks for the reliable surveillance of an environment where the likelihood of the presence of uncooperative targets is high. Despite the limited effectiveness of amplitude as a radar discriminant, through the clever use of detection through tracking, the detection performance of the noncoherent radar ...
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This paper describes the use of cognitive radar networks for the reliable surveillance of an environment where the likelihood of the presence of uncooperative targets is high. Despite the limited effectiveness of amplitude as a radar discriminant, through the clever use of detection through tracking, the detection performance of the noncoherent radar ...
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Velocity Unfolding in Networked Radar System
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008This paper presents an algorithm that derives the vector velocity estimate in a radar network environment considering the velocities that exceed the maximum unambiguous velocity of its observing sensor nodes. At first, an analytical derivation with underlying assumptions is presented and then simulation results are shown and discussed.
Edin Insanic, Paul Siqueira
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Compressive Sensing for Radar and Radar Sensor Networks
2013Abstract : In this project, compressive sensing for radar and radar sensor networks were studied. Significant results have been achieved in the following aspects: Compressive Sensing in Radar Sensor Networks Using Pulse Compression Waveforms; Theoretical Performance Bounds for Compressive Sensing with Random Noise; Compressive Sensing in Radar Sensor ...
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