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Exploiting of the Compression Methods for Reconstruction of the Antenna Far-Field Using Only Amplitude Near-Field Measurements

机译:仅使用振幅近场测量来重建天线远场的压缩方法

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摘要

The novel approach exploits the principle of the conventional two-plane amplitude measurements for the reconstruction of the unknown electric field distribution on the antenna aperture. The method combines a global optimization with a compression method. The global optimization method (GO) is used to minimize the functional, and the compression method is used to reduce the number of unknown variables. The algorithm employs the Real Coded Genetic Algorithm (RCGA) as the global optimization approach. The Discrete Cosine Transform (DCT) and the Discrete Wavelet Transform (DWT) are applied to reduce the number of unknown variables. Pros and cons of methods are investigated and reported for the solution of the problem. In order to make the algorithm faster, exploitation of amplitudes from a single scanning plane is also discussed. First, the algorithm is used to obtain an initial estimate. Subsequently, the common Fourier iterative algorithm is used to reach global minima with sufficient accuracy. The method is examined measuring the dish antenna.
机译:该新颖方法利用了常规两平面幅度测量的原理来重建天线孔径上的未知电场分布。该方法将全局优化与压缩方法结合在一起。全局优化方法(GO)用于最小化功能,而压缩方法用于减少未知变量的数量。该算法采用实数编码遗传算法(RCGA)作为全局优化方法。离散余弦变换(DCT)和离散小波变换(DWT)用于减少未知变量的数量。研究和报告了方法的优缺点,以解决问题。为了使算法更快,还讨论了来自单个扫描平面的幅度的利用。首先,该算法用于获得初始估计。随后,使用通用傅里叶迭代算法以足够的精度达到全局最小值。测试方法是测量碟形天线。

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  • 作者

    Puskely J.; Novacek Z.;

  • 作者单位
  • 年度 2010
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  • 原文格式 PDF
  • 正文语种 en
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