Results 41 to 50 of about 7,354,366 (340)

A Three-Dimensional Phantom Track Generation for Radar Network Deception (January 2019)

IEEE Access, 2019
One important issue when multiple cooperating electronic combat air vehicles (ECAVs) are used to generate phantom radar tracks in a radar network is the position inaccuracy, which is the fundamental reasons for the difference between a phantom track and ...
Xiang Liu, Dongsheng Li
doaj   +1 more source

A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations

IEEE Transactions on Geoscience and Remote Sensing, 2020
Space-based precipitation products are often used for regional and/or global hydrologic modeling and climate studies. A number of precipitation products at multiple space and time scales have been developed based on satellite observations. However, their
Haonan Chen, V. Chandrasekar, R. Cifelli, P. Xie   +3 more
semanticscholar   +1 more source

Personnel recognition and gait classification based on multistatic micro-doppler signatures using deep convolutional neural networks [PDF]

, 2018
In this letter, we propose two methods for personnel recognition and gait classification using deep convolutional neural networks (DCNNs) based on multistatic radar micro-Doppler signatures.
Chen, Zhaoxi, Fioranelli, Francesco, Griffiths, Hugh, Li, Gang   +3 more
core   +1 more source

Key Technologies of Hydrometeor Classification and Mosaic Algorithm for X-band Polarimetric Radar

应用气象学报, 2021
The advantages of X-band polarimetric weather radar focus on its high spatio-temporal resolution and capability of multi-radar networking. However, the previously designed hydrometeor classification algorithm (HCA) for S-band weather radar is unsuitable ...
Wu Chong, Liu Liping, Yang Meilin, Ma Jianli, Li Juan   +4 more
doaj   +1 more source

Calculation of Diffraction Field Using Incremental Theory of Diffraction for Observation Points Outside the Keller Cone [PDF]

Journal of Electromagnetic Engineering and Science
This letter presents an enhanced diffracted electromagnetic field calculation approach that addresses the critical limitations of conventional methods. Since traditional techniques, such as geometrical theory of diffraction, uniform theory of diffraction,
Haeseung Lee, Soyeong Lee, Daeyeong Yoon, Yong Bae Park   +3 more
doaj   +1 more source

Neural Networks for Radar Waveform Recognition [PDF]

Symmetry, 2017
For passive radar detection system, radar waveform recognition is an important research area. In this paper, we explore an automatic radar waveform recognition system to detect, track and locate the low probability of intercept (LPI) radars. The system can classify (but not identify) 12 kinds of signals, including binary phase shift keying (BPSK ...
Ming Zhang, Ming Diao, Lipeng Gao, Lutao Liu   +3 more
openaire   +1 more source

Mission Planning and Trajectory Optimization in UAV Swarm for Track Deception against Radar Network

Remote Sensing
In this article, a mission planning and trajectory optimization scheme in unmanned aerial vehicle (UAV) swarm for track deception against radar networks is proposed.
Yihan Li, Chenguang Shi, Mu Yan, Jianjiang Zhou   +3 more
doaj   +1 more source

Adaptive intra‐pulse interference waveform generation technique based on Convolutional Neural Network—Deep Neural Network with global priority information of radar signal

IET Radar, Sonar & Navigation, 2023
To adapt to the complex and changeable electromagnetic environment of radar detection, improve the jamming effect on frequency‐agile radar and low probability of intercept radar, and solve the problem of poor jamming effect caused by intra‐pulse jamming ...
Yilin Jiang, Xi Shang, Lisong Guan, Jinxin Li   +3 more
doaj   +1 more source

A Marine Radar Wind Sensor [PDF]

, 2007
A new method for retrieving the wind vector from radar-image sequences is presented. This method, called WiRAR, uses a marine X-band radar to analyze the backscatter of the ocean surface in space and time with respect to surface winds.
Dankert, Heiko, Horstmann, Jochen
core   +2 more sources

The ARM Radar Network: At the Leading Edge of Cloud and Precipitation Observations

Bulletin of The American Meteorological Society - (BAMS), 2020
Improving our ability to predict future weather and climate conditions is strongly linked to achieving significant advancements in our understanding of cloud and precipitation processes. Observations are critical to making these advancements because they
P. Kollias, N. Bharadwaj, E. Clothiaux, K. Lamer, M. Oue, J. Hardin, B. Isom, I. Lindenmaier, A. Matthews, E. Luke, S. Giangrande, K. Johnson, S. Collis, J. Comstock, J. Mather   +14 more
semanticscholar   +1 more source