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Electromagnetic Noise Source Approximation for Finite-Difference Time-Domain Modeling Using Near-Field Scanning and Particle Swarm Optimization

机译:基于近场扫描和粒子群算法的时域有限差分建模的电磁噪声源逼近

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摘要

This paper presents an electromagnetic noise source approximation method based on a 2-D array of electric dipoles for use in finite-difference time-domain simulations. The currents (both magnitude and phase) of these dipoles are optimized via a particle swarm algorithm so as to minimize the difference between the magnetic near-field produced by the dipole array and the magnetic near-field produced by the device under test. The method presented requires only the magnitude of the magnetic field to be measured, simplifying the measurement process. The new noise source modeling method has been applied to a transmission-line test case, demonstrating the performance and accuracy of the method.
机译:本文提出了一种基于二维电偶极子阵列的电磁噪声源逼近方法,用于有限差分时域仿真。这些偶极子的电流(幅度和相位)都通过粒子群算法进行了优化,以最小化偶极子阵列产生的磁近场和被测器件产生的磁近场之间的差异。提出的方法仅需要测量磁场的大小,从而简化了测量过程。新的噪声源建模方法已应用于传输线测试案例,证明了该方法的性能和准确性。

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