微波全息成像的光谱理论

A. Popov, I. Prokopovich, V. Kopeikin, D. Edemskij
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引用次数: 1

摘要

地下微波全息技术的能力受到渗透深度、表面反射和空间分辨率等相互矛盾的因素的限制。作为权衡的结果,工作频率下的波长与典型目标尺寸相当,与天线阵列尺寸和探测范围相比并不小。为了理解平面全息天线阵列的微波成像,我们应用菲涅耳-基尔霍夫衍射理论对目标照明、入射波散射、全息数据采集和数值波前转换的目标重建进行了统一处理。在窄角衍射模型的框架内,推导了将平面被测物体直接转换为其衍射极限像的积分算子。通过对横坐标进行傅里叶变换,可以很容易地揭示该算子的作用:它从目标空间光谱中按光照角度居中切割出一个矩形段。理论表明,要想成功地重建目标,获取的矩形必须覆盖目标空间谱的重要部分。如果天线孔径太小无法满足这一条件,则可以采用合成孔径法。这种通过在固定接收机天线阵列周围移动辐射体来实现的多视点多静态测量方案可以显著提高雷达成像性能- cf.[1]。数值模拟和物理实验证实了这一结论。
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Spectral theory of microwave holographic image formation
The capabilities of subsurface microwave holography are limited by mutually contradicting factors, such as penetration depth, surface reflection, and spatial resolution. As a result of the trade-off, the wavelength at the operating frequency is comparable to the typical target sizes and is not small compared with the antenna array dimensions and probing range. In order to comprehend microwave image formation by a planar holographic antenna array we apply Fresnel-Kirchhoff diffraction theory uniformly treating target illumination, incident wave scattering, holographic data acquisition, and object reconstruction by means of numerical wave front conversion. Within the framework of narrow-angle diffraction model we derive an integral operator directly transforming the planar test object into its diffraction-limited image. The action of this operator is readily revealed by applying Fourier transform with respect to the transversal coordinates: it cuts from the target spatial spectrum a rectangular segment centered according to the illumination angle. The theory shows that for a successful object reconstruction the acquired rectangle must cover the significant part of the target spatial spectrum. If the antenna aperture is too small to meet this condition, synthetic aperture approach can be successfully used. Such a multiview-multistatic measurement scheme realized by moving the radiator around the fixed receiver antenna array may considerably improve the radar imaging performance - cf. [1]. This conclusion was confirmed by numerical simulation and physical experiment.
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Creating virtual vertical radar profiles from surface reflection Ground Penetrating Radar data Modeling of GPR data in a stack of VTI-layers with an analytical code Three-dimensional non-contact subsurface radiotomography through a non-planar interface between media Intrinsic modeling of antenna array in near-field conditions Cross-correlation attribute analysis of GPR data for tunnel engineering
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