Results 301 to 310 of about 12,611,004 (335)
Some of the next articles are maybe not open access.
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 ...
openaire +1 more source
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +2 more sources
Efficient sampling for radar sensor networks
International Journal of Sensor Networks, 2015Compressive sensing CS is an excellent technique for data acquisition and reconstruction in radar sensor networks RSNs with a high computational capability. This paper presents a new efficient and effective signal compression and reconstruction algorithm based on CS principles for applications in real-world RSNs, in which the signals are obtained in ...
Junjie Chen 0002, Qilian Liang
openaire +2 more sources
A Photonics-Assisted Multi-Band MIMO Radar Network for the Port of the Future
IEEE Journal of Selected Topics in Quantum Electronics, 2021G. Serafino +8 more
semanticscholar +1 more source
Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey
IEEE Communications Surveys and Tutorials, 2022Yingjie Jay Guo +2 more
exaly