Interpolation of Missing Antenna Measurements or RCS Data Using the Matrix Pencil Method

Nicolas F. Reginelli, T. Sarkar, M. Salazar-Palma
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Abstract

When measuring the near-field of an antenna, often there are gaps in the measured data where the radiated fields are too low in magnitude to be measured or the measurement probe can′t physically reach. Similarly in the measurement of RCS data such gaps can also be observed due to various physical limitations. To address this problem in the measurement of the field data, the antenna characteristic is measured over a certain elevation range, theta, up to the point where measurement becomes difficult or inaccurate. The gap in the data is then approximated using the matrix pencil method. By applying the matrix pencil method, the data is interpolated or extrapolated using estimated residues and poles of an exponential signal model. The Total Least Squares (TLS) implementation of the Singular Value Decomposition (SVD) is used to obtain the residues and poles from the data. Once these parameters are obtained, the near-field can be estimated by a sum of complex exponentials. The far-field is obtained by using a spherical near to far-field transformation. A numerical example is provided to show the applicability of the matrix pencil method in interpolating a gap in antenna measurement data. Similar methodology can be applied to the RCS data.
用矩阵铅笔法插值缺失的天线测量或RCS数据
在对天线近场进行测量时,通常在测量数据中存在辐射场量级过低而无法测量或测量探头无法物理到达的间隙。同样,在RCS数据的测量中,由于各种物理限制,也可以观察到这种间隙。为了解决现场数据测量中的这个问题,在一定的仰角范围内测量天线的特性,直到测量变得困难或不准确的点。然后使用矩阵铅笔法近似计算数据中的间隙。通过应用矩阵铅笔法,利用指数信号模型的估计残数和极点对数据进行内插或外推。利用奇异值分解(SVD)的总最小二乘(TLS)实现从数据中获得残数和极点。一旦得到这些参数,就可以用复指数的和来估计近场。远场是用球面近场到远场变换得到的。通过数值算例说明了矩阵铅笔法在天线测量数据间隙插值中的适用性。类似的方法可以应用于RCS数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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