A Particle Swarm Optimization-Based Approach for Predicting Maximum Radiated Emission From PCBs With Dominant Radiators

Abstract

In this paper, an approach is proposed to predict the maximum far-field radiated emission based on phaseless near-field scanning. The maximum radiated emission from printed circuit boards is assumed to be produced by dominant magnetic dipoles located by the near-field measurement. The particle swarm optimization technique is then employed to identify the complex moment components of the dipoles. Once the dominant dipoles at each emission frequency are determined, the maximum far-field radiated emission in the interested frequency range can be calculated using the method of moments. The proposed approach allows a quick assessment of far-field radiated emission precompliance in a wide frequency range by near-field scanning. Experimental results are presented to show its feasibility and effectiveness.Index Terms-Maximum radiated emission, method of moments, near-field scanning, particle swarm optimization, printed circuit boards.

A highly accurate and robust source reconstruction method of printed circuit boards based on complex‐valued neural network

“…As an example, the radiation from a test PCB with an L-shaped trace is modeled equivalently to demonstrate the robustness and of our method in noise suppression. 10 The geometrical model is shown in Figure 12A, and the physical model is shown in Figure 12B. The board has a size of 100 Â 100 mm, with one of its sides covered with copper serving as a conducting ground plane and the other side residing the L-shaped trace with a width of 2 mm.…”

“…6,7 An SRM without phase information of the near magnetic field has been proposed by some scholars. 8,9 This method was further improved by Xiang et al with the help of particle swarm optimization algorithm, 10 and was eventually applied in predicting farfield radiation hotspots in a wide frequency band. 11 Furthermore, Wang solved the nonlinear problem by using a joint L1 and L2 regularization method to obtain a more reliable equivalent source model.…”

Source Reconstruction Method Using Phase-Less Magnetic Near-Field Measurements: Application of the Method of Moment with Roof-Top Basis Functions

“…In [9], a direct optimization procedure based on the conjugate gradient method which utilizes phase-less electric field data over arbitrary shaped surfaces for the reconstruction of an equivalent magnetic current density was presented. Other global optimization-based techniques such as the genetic algorithm method [10], [11], the differential evolution method [12]- [14], and the particle swarm optimization [15] have been developed to retrieve the phase using amplitude-only near-field measurements. By increasing the number of equivalent dipoles, the computational time of the global optimization-based techniques will also increase.…”

Electrostatic discharge algorithm: a novel nature‐inspired optimisation algorithm and its application to worst‐case tolerance analysis of an EMC filter

“…Optimisation is ubiquitous also for problems and applications related to electromagnetic compatibility (EMC), few examples are electromagnetic interference (EMI) filter design [3][4][5], design of meandered microstrip [6], design of power delivery network (PDN) [7], electromagnetic band gap common mode filter design [8,9], prediction of radiated emission from printed circuit boards [10].…”