分形粗糙面合成孔径雷达成像研究

发布时间：2018-03-27 17:28

本文选题：分形粗糙面　切入点：Weierstrass-Mandelbrot函数　出处：《物理学报》2016年07期

【摘要】：研究了分形粗糙面的成像问题.分形粗糙面能够较好的逼近真实环境,采用带限形式的WeierstrassMandelbrot函数建立了分形粗糙面几何模型,对分形粗糙面参数的选取进行了讨论.对大尺度粗糙面散射问题提出了一种基于大面元的Kirchhoff近似方法,采用面元模型来计算粗糙面总的后向散射场以及每一个面元的后向散射场,并对面元的尺寸选取进行了研究,通过与解析解进行对比证明了该方法的正确性.在分形理论建立的确定性粗糙面几何模型与面元的Kirchhoff方法获取的散射场的基础上,采用正侧视条带式成像模式,并选用距离多普勒算法对不同分形参数的粗糙面进行合成孔径雷达(SAR)成像模拟,结果显示从SAR像中可以清晰地观察到不同分形参数对粗糙面几何轮廓的影响.该研究包括了从环境模型、电磁模型到SAR成像技术在内的完整的分形环境SAR像模拟过程,仿真结果显示出分形环境的SAR像特点,这对基于分形理论的自然环境的遥感探测以及参数反演具有一定的理论支撑作用.
[Abstract]:The imaging problem of fractal rough surface is studied. The fractal rough surface can approach the real environment well, and the geometric model of fractal rough surface is established by using the WeierstrassMandelbrot function in the form of band limit. The selection of parameters of fractal rough surface is discussed, and a Kirchhoff approximation method based on large scale rough surface scattering is proposed. The total backward scattering field of rough surface and the backward scattering field of each surface are calculated by using the surface element model, and the size selection of the opposite element is studied. The correctness of the method is proved by comparing with the analytical solution. On the basis of the deterministic rough surface geometric model established by fractal theory and the scattering field obtained by the Kirchhoff method of the plane, the orthotropic strip imaging mode is adopted. The synthetic Aperture Radar (SAR) imaging of rough surfaces with different fractal parameters is simulated using range Doppler algorithm. The results show that the effects of different fractal parameters on the geometric profile of rough surface can be clearly observed from the SAR image. This study includes the complete simulation process of the fractal environment SAR image from the environmental model, the electromagnetic model to the SAR imaging technology. The simulation results show that the SAR image of fractal environment has some theoretical support for remote sensing detection and parameter inversion of natural environment based on fractal theory.
【作者单位】：空军工程大学防空反导学院;
【基金】：国家自然科学基金(批准号:61372033)资助的课题~~
【分类号】：TN957.52

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