Results 81 to 90 of about 28,726 (243)

Fuzzy Chance-constrained Programming Based Security Information Optimization for Low Probability of Identification Enhancement in Radar Network Systems [PDF]

Radioengineering, 2015
In this paper, the problem of low probability of identification (LPID) improvement for radar network systems is investigated. Firstly, the security information is derived to evaluate the LPID performance for radar network.
C. G. Shi, F. Wang, J.J. Zhou, J. Chen
doaj  

Multi-Mode Radar Target Detection and Recognition Using Neural Networks

International Journal of Advanced Robotic Systems, 2012
In typical radar systems, the process of recognizing a target requires human involvement. This human element makes radar systems not fully reliable due to unstable performance that varies between operators.
Janette C. Briones, Benjamin Flores, Raul Cruz-Cano   +2 more
doaj   +1 more source

Single Frequency Network Based Distributed Passive Radar Technology

Leida xuebao, 2015
The research and application of passive radar are heading from single transmitter-receiver pair to multiple transmitter-receiver pairs. As an important class of the illuminators of opportunity, most of modern digital broadcasting and television systems ...
Wan Xian-rong, Yi Jian-xin, Cheng Feng, Rao Yun-hua, Gong Zi-ping, Ke Heng-yu   +5 more
doaj   +1 more source

Neural Network‐Based Permittivity Engineering of Magnetic Absorbers for Customizable Microwave Absorption

Advanced Science, EarlyView.
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu, Jinzhe Li, Sen Li, Zhongqiu Guo, Yao Chen, Tian Li, Renchi Qin, Jiaxu Sun, Yongxi Lu, Fanbin Meng   +9 more
wiley   +1 more source

CNN-based multiple-input multiple-output radar image enhancement method

The Journal of Engineering, 2019
In this study, the convolutional neural network (CNN) is utilised to enhance the quality of radar images. First, a four-layer convolutional neural network is trained. The input of it is a complex valued two-dimensional low-resolution radar image, and the
Yongpeng Dai, Tian Jin, Yongping Song, Hao Du, Dizhi Zhao   +4 more
doaj   +1 more source

Radar and Sonar Sensor Networks

EURASIP Journal on Wireless Communications and Networking, 2010
1Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019-0016, USA 2Department of Computer Science, The George Washington University, Washington, DC 20052, USA 3Department of Electrical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan 4Air Force Research Laboratory/RHX, Brooks City Base, San Antonio,
Qilian Liang, Xiuzhen Cheng, Scott. C.-H. Huang, Sherwood W. Samn, Lingming Wang, Zheng Zhou   +5 more
openaire   +3 more sources

XOR‐Logic Phase Coding Programmable Metasurface for Low Power‐Consumption Systems

Advanced Science, EarlyView.
By leveraging XOR logic, the biasing‐network complexity of 2D programmable metasurfaces is reduced from m×n to m+n through efficient row‐column control. This enables versatile functions including beam deflection and beamforming, facilitating applications in wireless communications and beyond.
Ruichao Zhu, Sai Sui, Junyan Dai, Qunyan Zhou, Yuxiang Jia, Yajuan Han, Yuxi Li, Shaojie Wang, Qiang Cheng, Jiafu Wang, Tie Jun Cui   +10 more
wiley   +1 more source

AI‐Assisted Self‐Powered Wearable Dual‐Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics

Advanced Science, EarlyView.
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li, Han Liu, Guoxu Liu, Qian'ao Wang, Haotian Zhou, Guiyi Liu, Yan Xu, Jun Wang, Zuqiang Wang, Feng Zhu, Feiling Luo, Zhong Lin Wang, Chi Zhang   +12 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Dirac Surface‐State Driven Broad Spectral Band Low Quantum Energy Photoresponse in Quaternary Topological BiSbSe2Te

Advanced Science, EarlyView.
Quaternary topological BiSbSe2Te are synthesized and demonstrates a broad spectral band photoresponse, ranging from infrared to terahertz and to millimeter waves, with a particular excellence on detection of low quantum energy terahertz photons. The observed photoresponse is attributed to the excitation of plasmonic nonequilibrium electrons originating
Tianning Zhang, Jinchao Tong, Jiantian Zhang, Peng Yu, Heng Luo, Luo Yan, Boyu Yang, Tiantian Huang, Junhui Ran, Yan Chen, Liujiang Zhou, Xin Chen, Ning Dai, Jianlu Wang, Junhao Chu   +14 more
wiley   +1 more source