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Dual method of minimum spatial extent for processing of antenna measurements

机译:最小空间范围的双重方法用于天线测量

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摘要

Inverse problem of radiation-sources restoration from near-field measurement data is considered. Case of data distortion by additive noise and spikes is investigated. New approach based on a concept of “spatial extent” is suggested. It states that the weighted sum of spatial extent of solution discrepancy and spatial extent of solution should be a minimum. Thus, the concept of spatial extent is used two times, namely, in an original space (which is the space of solution) and in a conjugate space (which is the space of solution discrepancy). The model of radiation sources is described by a set of ideal Hertzian dipoles. The case, when dipoles are located along a straight line, which is parallel to measurement line of electric field, and when their electric moments are perpendicular to the measurement plane, is considered. Algorithm, based on the conjugate gradient method, is proposed. Numerical simulations of direct and inverse problems are presented.
机译:考虑了从近场测量数据恢复辐射源的反问题。研究了由附加噪声和尖峰引起的数据失真的情况。提出了一种基于“空间范围”概念的新方法。它指出解决方案差异的空间范围和解决方案的空间范围的加权总和应该最小。因此,空间范围的概念被两次使用,即在原始空间(即解的空间)和共轭空间(即解的差异空间)中使用两次。辐射源模型由一组理想的赫兹偶极子描述。考虑偶极子沿着与电场的测量线平行的直线定位并且偶极矩的电势垂直于测量平面的情况。提出了基于共轭梯度法的算法。提出了直接和反问题的数值模拟。

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