Next Article in Journal
Evaluation of Resource Exhaustion Attacks against Wireless Mobile Devices
Next Article in Special Issue
Radiation Properties of Conformal Antennas: The Elliptical Source
Previous Article in Journal
HPEFT for Hierarchical Heterogeneous Multi-DAG in a Multigroup Scan UPA System
Previous Article in Special Issue
A Parasitic Resonator-Based Diamond-Shaped Microstrip Antenna for Microwave Imaging Applications
Article Menu

Article Versions

Export Article

Open AccessArticle

Localization and Frequency Identification of Large-Range Wide-band Electromagnetic Interference Sources in Electromagnetic Imaging System

School of Electronic and Information Engineering, Beihang University, Beijing 110191, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(5), 499; https://doi.org/10.3390/electronics8050499
Received: 7 March 2019 / Revised: 26 April 2019 / Accepted: 30 April 2019 / Published: 5 May 2019
(This article belongs to the Special Issue Microwave Imaging and Its Application)
PDF [4434 KB, uploaded 5 May 2019]

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.
Keywords: localization; identification; EMI; electromagnetic imaging system; MGRNN localization; identification; EMI; electromagnetic imaging system; MGRNN
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Xie, S.; Wang, T.; Hao, X.; Yang, M.; Zhu, Y.; Li, Y. Localization and Frequency Identification of Large-Range Wide-band Electromagnetic Interference Sources in Electromagnetic Imaging System. Electronics 2019, 8, 499.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Electronics EISSN 2079-9292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top