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A Regularized Source Current Reconstruction Method for Reactive Near Field to Far Field Transformation

机译:一种无源近场到远场变换的正则源电流重构方法

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摘要

The source current reconstruction method (SRM) is based on reconstructing equivalent current from the known electric field and can be used as a method of near field to far field transformation. In this paper for the first time the reactive near field (RNF) to far field (FF) transformation based on SRM is carefully studied. It is shown that in the RNF region, the singular values of the SRM transformation matrix can magnify the evanescent modes of RNF region and unstable the SRM iterative solvers. Therefore, in this paper for RNF/FF transformation a regularized SRM is proposed and the equivalent magnetic current of an antenna under test is reconstructed from the Tikhonov SRM equation. The regularization parameter of the Tikhonov equation is determined by the L-curve method. The effect of near field distance and noise on the accuracy of far field transformation of the proposed algorithm are studied in two different antenna simulations. It is shown that in all cases in the RNF region a regularized SRM have more stable behavior and more accurate results.
机译:源电流重建方法(SRM)基于从已知电场中重建等效电流的方法,可以用作近场到远场转换的方法。本文首次对基于SRM的无功近场(RNF)转换为远场(FF)进行了仔细研究。结果表明,在RNF区域中,SRM变换矩阵的奇异值可以放大RNF区域的渐逝模式,并使SRM迭代求解器不稳定。因此,在本文中,针对RNF / FF变换,提出了规则化SRM,并根据Tikhonov SRM方程重建了被测天线的等效磁电流。 Tikhonov方程的正则化参数由L曲线方法确定。在两个不同的天线仿真中研究了所提出算法的近场距离和噪声对远场变换精度的影响。结果表明,在所有情况下,在RNF区域中,规则化SRM都具有更稳定的行为和更准确的结果。

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