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A simulation procedure of the plasma sheath and its scattering property by a hypervelocity object is presented. First, the simulated electron density and gas temperature of the plasma sheath are found in reasonable agreements with experiment results. Then the complex dielectric constants of the plasma domain are calculated by using the simulated flow field data. Finally, the influence of the plasma...
When facing radar target recognition, the main problems focus on the data representation capability and the robustness to cope with noise. The merits of deep learning such as automatic setting for training and hierarchical extraction of features. Most of existing deep networks are related to Restricted Boltzmann machine (RBM), which has played an important role in deep learning techniques. The models...
A simulation procedure to examine the backscattering radar cross-section (RCS) of a hypersonic object with plasma sheath is presented. Computational fluid dynamics tool is adopted to resolve the distributions of electron density and atmospheric temperature, and then the complex dielectric constant of plasma sheath are found. Volume-surface integral equation method is employed to extract the backscattering...
In addition to the traditional re-entry warhead and re-entry capsule, more and more hypersonic objects appear in the near space in recent years, such as the X-51, X-37, and so on. Analysis of electromagnetic scattering properties of these objects has important values for identification, recognition, communication and control. Challenging problems to extract their scattering characteristics include...
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