Localization and Frequency Identification of Large-Range Wide-band Electromagnetic Interference Sources in Electromagnetic Imaging System
| العنوان: | Localization and Frequency Identification of Large-Range Wide-band Electromagnetic Interference Sources in Electromagnetic Imaging System |
|---|---|
| المؤلفون: | Meiling Yang, Shuguo Xie, Yanju Zhu, Tianheng Wang, Xuchun Hao, Li Yuanyuan |
| المصدر: | Electronics Volume 8 Issue 5 Electronics, Vol 8, Iss 5, p 499 (2019) |
| بيانات النشر: | Multidisciplinary Digital Publishing Institute, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Paraboloid, MGRNN, Computer Networks and Communications, Computer science, Acoustics, lcsh:Electronics, lcsh:TK7800-8360, Particle swarm optimization, Large range, Interference (wave propagation), Electromagnetic interference, localization, electromagnetic imaging system, Hardware and Architecture, Control and Systems Engineering, Signal Processing, identification, Electrical and Electronic Engineering, EMI |
| الوصف: | 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. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2079-9292 |
| DOI: | 10.3390/electronics8050499 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f370f9e5c866bf4ad046c03b1c27f029Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....f370f9e5c866bf4ad046c03b1c27f029 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20799292 |
|---|---|
| DOI: | 10.3390/electronics8050499 |