Results 221 to 230 of about 31,060 (259)
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Studies on Radar and Non-radar Sensor Networks
2006Abstract : During the period of 12/1/2005--5/30/2006, we expanded our research from generic wireless sensor networks to radar sensor networks. For radar sensor networks, we performed the following preliminary studies: (1) Waveform design and diversity in radar sensor networks with applications to automatic target recognition with or without delay ...
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Scalable Multifunction Dense Radar Network
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008This paper discusses an approach to evaluating network topologies of scalable, low power, solid-state phased array radars that improve the coverage of the lower troposphere (
Anthony P. Hopf +2 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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Detection in Passive MIMO Radar Networks
IEEE Transactions on Signal Processing, 2014This paper addresses target detection in passive multiple-input multiple-output (MIMO) radar networks comprised of non-cooperative transmitters and multichannel receivers. A generalized likelihood ratio test is derived, and approximate test statistic distributions are presented for both hypotheses under common scenario conditions.
Daniel E. Hack +3 more
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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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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 Sensor Networks
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010Motivated by recent advances on Compressive Sensing (CS) and high data redundancy among radars in radar sensor networks, we study CS for radar sensor networks. We demonstrate that the sense-through- foliage UWB radar signals are very sparse, which means CS could be applied to radar sensor networks to tremendously reduce the sampling rate. We propose to
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Convolutional Neural Networks for Radar Detection
2002The use of convolutional neural networks (CNN's) for radar detection is evaluated. The detector includes a time-frequency block that has been implemented by the Wigner-Ville distribution and the Short-Time Fourier Transform to test the suitability of both techniques. The CNN detectors are compared with the classic multilayer perceptron and with several
Gustavo López-Risueño +3 more
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