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Contrast Source Inversion Algorithm Against Three Dimensional Microwave Experimental Data

机译:三维微波实验数据对比源反演算法

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This paper describes a nonlinear inversion scheme for reconstructing two three-dimensional (3-D) homogeneous dielectric targets in an anechoic chamber in a controlled environment. The applied scheme is the contrast source inversion (CSI) algorithm, a nonlinear iterative algorithm based on two domain integral equations, combined with frequency hopping (FH) approach. The inversion results, which are presented and compared for the 3-D co-polarized data, verify the capability and the accuracy of the CSI algorithm with CF approach for 3-D microwave imaging.
机译:本文介绍了一种非线性反演方案,用于在受控环境中在消声室内重建两个三维(3-D)均匀介电目标。应用的方案是对比源反演(CSI)算法,它是基于两个域积分方程的非线性迭代算法,并结合了跳频(FH)方法。呈现并比较了3-D同极化数据的反演结果,验证了CF方法用于3-D微波成像的CSI算法的能力和准确性。

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