EMI noise source discrimination using cross domain analyzer and analog RoF link with mobile robot
In this paper, we propose a new method for electromagnetic interference (EMI) noise analysis using an analog radio-over-fiber (RoF) link, cross domain analyzer, and mobile robot. With this new method, both the phase distribution and amplitude distribution of an electric field radiated by an EMI noise source can be measured. From the measured and simulated results obtained using the method of moments technique, we show that we can differentiate between noise sources in different positions using the phase distribution measured on a measurement circle.
On the Noise Path Determination With the Noise Source Modulation Technique
The fundamental properties and key parameters of the noise source modulation technique (NSMT) to determine the electromagnetic noise path are discussed. The basic idea behind the NSMT is to apply a known time variation (modulation) to one of the possible noise paths and to observe its effect at the noise victim location. Different modulations can be applied to different noise paths simultaneously. Based on the type and amount of noise modulation at the victim location, the noise path can be determined. An experiment in ideal conditions has been conducted where two cables carry the same amount of common mode current but only one is the main noise path to the victim. By comparing the path index with the measured insertion loss between cables and receiving antennas, the correctness of the NSMT to determine the noise path is confirmed.
Pseudo EMI measurement using VNA and optical feeding antenna for site performance comparison among public testing laboratories in Kanto-area in Japan
We proposed the pseudo-EMI measurement using VNA and optical feeding bi-conical antenna. The proposed method is very useful for the performance comparison of EMI anechoic chamber. This is because the proposed method can calculate time-domain waveform for the reference data and can quantitatively evaluate the site performance by observing the deviation from the time-domain gated reference data.