FEKO中最近的MLFMM改进

2018 IEEE Indian Conference on Antennas and Propogation (InCAP) Pub Date : 2018-12-01 DOI:10.1109/INCAP.2018.8770911

J. V. van Tonder, M. Bingle, J. Huysamen, U. Jakobus, M. Schoeman, C. Reddy

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引用次数: 0

摘要

FEKO中的MLFMM正在不断扩展和改进，以使用最少的内存获得更快的解决方案时间。本文描述了汽车挡风玻璃天线分析，要求基于表面等效原理、有限元法和挡风玻璃天线分析的MLFMM的杂交。此外，还显示了使用最新的MPI3共享内存的显著内存减少。

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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Recent MLFMM Improvements in FEKO

The MLFMM in FEKO is continuously being extended and improved to obtain faster solution times using the minimum amount of memory. This paper describes automotive windscreen antenna analysis, requiring the hybridization of the MLFMM based on the surface equivalence principle, the finite element method and windscreen antenna analysis. In addition, the significant memory reduction using the latest MPI3 shared memory is shown.

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2018 IEEE Indian Conference on Antennas and Propogation (InCAP)

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