Abstract
The identification and localization of large-range, wide-band electromagnetic interference (EMI) sources have always been both costly and time-consuming. The measurements at different times and places are often required before a typical system can locate a target. In this paper, we proposed a 2D electromagnetic imaging system to localize interference sources and identify the EMI frequency in real time. In this system, an offset paraboloid with a diameter of three meters is designed for large-range EMI imaging, while a multi-channel digital signal acquisition system is developed for wide-band EMI localization. The located interference source is segmented by the maximum entropy method based on particle swarm optimization, and the modified generalized regression neural network (MGRNN) is applied to identify the EMI frequency effectively by excluding misleading effects of outliers. The experiment which has been completed on our dataset indicates that our approach not only increases accuracy by 5% compared with the standard generalized regression neural network approaches for identification, but also exerts a large-range wide-band localization of the EMI source detection method.
Highlights
It is a growing trend that wireless products are spreading tremendously in our life
Salman [2] investigated the performance of a planar elliptical dipole textile antenna for the multi-sensor subsurface detection system
We explored a 2D electromagnetic imaging system for the identification and localization of large-range wide-band electromagnetic interference (EMI) sources
Summary
It is a growing trend that wireless products are spreading tremendously in our life. These wireless systems could be very sensitive to electromagnetic interference (EMI), which could be either generated unintentionally from other electronic systems, or generated intentionally by jammers. The autocorrelation and cross-correlation functions obtained by the two-point planar scanning system are used for the characterization of stochastic field distribution Such systems require a series of complex measurements for the direct measurements on the device surface at different times and locations. Such problem of electromagnetic compatibility related to the localization of sources can be solved by using the remote sensing of electromagnetic radiation and imaging of field distribution to the Electronics 2019, 8, 499; doi:10.3390/electronics8050499 www.mdpi.com/journal/electronics. By using GRNN, Lu Ning [19] achieved a good result when detecting a target on sea surface Such a method requires a large amount of parameters before the system start working and the parameters, which will influence the prediction result, are very time-consuming to acquire by experiment.
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