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Applications of sources reconstruction techniques: Theory and practical results

机译:源重建技术的应用:理论与实践结果

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In this paper, four new applications of sources reconstruction techniques (also called diagnostic techniques) are presented. First of all, the important information of such techniques will be mentioned, seeing that they are a tool to obtain the extremely near field from the measured data. Depending on the region where these data are taken (near field or far field), the reconstruction method will be different. Also, all of them may be classified in other two groups depending on its features: Integral Equation Methods (IEM) or Modal Expansion Methods. Classical applications of such techniques are errors detection, like phase errors in arrays or conformai errors in reflectors, therefore, they constitute an important antenna design tool. But also and it has been said, they can be used as the basis to other applications whose aim is to improve the measurement results in anechoic chambers or non anechoic environments. Here, four of them are presented, being the reflection cancelling, the detection of unwanted radiation points, the truncation error reduction in planar or cylindrical near-field and the noise reduction.
机译:本文介绍了源重构技术(也称为诊断技术)的四个新应用。首先,将提及这些技术的重要信息,因为它们是从测量数据中获得极近场的工具。根据获取这些数据的区域(近场或远场),重建方法将有所不同。同样,根据它们的特征,它们都可以分为其他两组:积分方程方法(IEM)或模态扩展方法。这种技术的经典应用是误差检测,例如阵列中的相位误差或反射器中的共形误差,因此,它们构成了重要的天线设计工具。但也有人说,它们可以用作其他应用的基础,其目的是改善在无回声室或非回声环境中的测量结果。这里介绍了其中的四个,分别是反射消除,不想要的辐射点的检测,平面或圆柱形近场中的截断误差的减小以及噪声的减小。

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