An Optimization Method to Enhance the Accuracy of Noise Source Impedance Extraction Based on the Insertion Loss...

Area of Science:

• Electrical Engineering
• Electromagnetics
• Filter Design

Background:

• Optimal electromagnetic interference (EMI) filter design necessitates accurate noise source impedance characterization.
• Conventional insertion loss methods for impedance extraction face limitations due to inherent inaccuracies, potentially compromising results or causing failure.

Purpose of the Study:

• To introduce and validate a series inductance method for overcoming the limitations of traditional insertion loss techniques in noise source impedance extraction.
• To derive exact analytical expressions for noise source impedance magnitude and phase using the new method.

Main Methods:

• Development of a series inductance method for noise source impedance extraction.
• Derivation of exact analytical expressions for impedance magnitude and phase.
• Analysis of the series insertion loss method's application scope and quantification of insertion loss measurement error impact.

Main Results:

• The series inductance method provides accurate analytical expressions for noise source impedance.
• Quantification of the impact of insertion loss measurement errors on extraction accuracy.
• Identification of requirements and optimization strategies for improved extraction accuracy.

Conclusions:

• The proposed series inductance method effectively overcomes limitations of conventional techniques for noise source impedance extraction.
• Simulation and experimental validation in a buck converter confirm the approach's efficacy and reliability for EMI filter design.