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Description: 机载合成孔径雷达自聚焦算法，没有实测数据，用的是点目标仿真-Airborne synthetic aperture radar algorithm for self-focusing, there is no measured data, using a point-target simulation
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Size: 3072 |
Author: |
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Description: 对合成孔径雷达下的方位向上散焦的目标利用RCM重新聚焦，得到聚焦好的图像-Synthetic aperture radar for position under the goal of upward defocusing to re-focus the use of RCM has been focusing a good image
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Size: 2048 |
Author: 易航 |
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Description: 基于稀疏表示的逆合成孔径雷达自聚焦成像，讲述了自聚焦方法-Based on sparse representation inverse synthetic aperture radar imaging self-focusing
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Size: 208896 |
Author: gengbing |
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Description: 相位梯度自聚焦算法（PGA）的matlab程序实现，合成孔径雷达中最经典最常用的自聚焦和运动误差补偿方法-The phase gradient autofocus algorithm (PGA) of matlab implementation, the most classic of the most commonly used in synthetic aperture radar self-focusing and the motion error compensation method
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Size: 1024 |
Author: weishunjun |
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Description: Ground Penetrating Radar (GPR) imaging simulation for point target scattering. The included migration (focusing) algorithms are: Backprojection, w-k (frequency-wavenumber), Phase-shift and Hyperbolic Summation.
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Size: 9216 |
Author: Sevket |
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Description: Advanced synthetic aperture radar (SAR) systems
achieve high spatial resolution by using wide range bandwidth
combined with long azimuth illumination time. In order to
deal with such sensor parameters, high quality SAR focusing
methods and often preprocessing of the raw data are necessary.
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Size: 1024 |
Author: khosravi
|
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Description: Advanced synthetic aperture radar (SAR) systems
achieve high spatial resolution by using wide range bandwidth
combined with long azimuth illumination time. In order to
deal with such sensor parameters, high quality SAR focusing
methods and often preprocessing of the raw data are necessary.
Platform: |
Size: 1024 |
Author: khosravi
|
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Description: We describe techniques for improving ground moving target indication (GMTI) performance in multi-channel synthetic aperture radar (SAR) systems. Our approach employs a combination of moving reference processing (MRP) to compensate for defocus of moving target SAR responses and space-time adaptive processing (STAP) to mitigate the effects of strong clutter interference. Using simulated moving target and clutter returns, we demonstrate focusing of the target return using MRP, and discuss the effect of MRP on the clutter response. We also describe formation of adaptive degrees of freedom (DOFs) for STAP filtering of MRP processed data. For the simulated moving target in clutter example, we demonstrate improvement in the signal to interference plus noise (SINR) loss compared to more standard algorithm configurations.
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Size: 574464 |
Author: asgary
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