W
Wei Wang
Researcher at National University of Defense Technology
Publications - 25
Citations - 428
Wei Wang is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Jamming & Inverse synthetic aperture radar. The author has an hindex of 11, co-authored 25 publications receiving 345 citations.
Papers
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Journal ArticleDOI
On deception jamming for countering bistatic ISAR based on sub-Nyquist sampling
TL;DR: It is demonstrated that deceptive false-target images will be induced by the under-sampled pulses which are retransmitted to a moving target and scattered by it under the principles of bistatic ISAR configuration.
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Sub-Nyquist Sampling Jamming Against ISAR With Compressive Sensing
TL;DR: Results show that multiple deceptive false-target images with finer resolution will be induced after the sub-Nyquist sampled jamming signals dealed with CS-based reconstruction algorithm; hence, the sub theyquist sampling can be adopted in the generation of decoys against ISAR with CS.
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A frequency-domain three-stage algorithm for active deception jamming against synthetic aperture radar
TL;DR: Theoretical analyses and simulation results indicate that the FDTSA can get rid of severe focus deterioration of the false scatterers and reasonable computational load is required.
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Inverse Omega-K Algorithm for the Electromagnetic Deception of Synthetic Aperture Radar
TL;DR: An inverse omega-K algorithm is proposed and an accurate and an approximate implementation scheme of the algorithm are presented that can achieve full focus with no regard to the squint angle and synthetic aperture of radar.
Journal ArticleDOI
Calibration of three-axis magnetometers with differential evolution algorithm
Hongfeng Pang,Qi Zhang,Wei Wang,Junya Wang,Ji Li,Shitu Luo,Chengbiao Wan,Dixiang Chen,Mengchun Pan,Feilu Luo +9 more
TL;DR: In this paper, a new method is proposed to calibrate three-axis magnetometers using differential evolution (DE) algorithm, which can avoid the troublesome procedure to select suitable initial parameters, thus it can improve the calibration performance of 3D magnetometers.