applsci-logo

Journal Browser

Journal Browser

Vehicles in Electromagnetic Environments

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 1050

Special Issue Editor


E-Mail Website
Guest Editor
Institute of Electromagnetic Compatibility, Beijing Jiaotong University, Beijing 100044, China
Interests: railway EMC; anti-interference for wireless communications; EMI protection

Special Issue Information

Dear Colleagues,

The electromagnetic environment of complex systems such as high-speed railway systems is complex and changeable, and the risk of electromagnetic incompatibility of on-board equipment is difficult to assess. Thus, it is necessary to accurate analyze the electromagnetic environment of complex systems. However, the prediction modeling for complex systems involves many problems, such as multi-source coupling analysis, multi-scale electromagnetic field calculation and random electromagnetic field analysis. Topics of interest include, but are not limited to, the following:

  • Electromagnetic compatibility modeling methods for multiscale complex systems;
  • Calculation methods for the stochastic electromagnetic response of complex systems;
  • EMC risk assessment for on-board equipment;
  • Coupling analysis of complex wire harnesses;
  • Quantitative evaluation of signaling and communications performance against EMI.

Dr. Jinbao Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • railway EMC
  • railway EM environment
  • anti-interference for train control systems
  • EM numerical calculation
  • EMI protection

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

14 pages, 5322 KiB  
Article
A Fast Prediction Method for the Electromagnetic Response of the LTE-R System Based on a PSO-BP Cascade Neural Network Model
by Xiaodong He, Yinghong Wen and Dan Zhang
Appl. Sci. 2023, 13(11), 6640; https://doi.org/10.3390/app13116640 - 30 May 2023
Viewed by 721
Abstract
In this paper, a fast prediction model of the electromagnetic response of the LTE-R (Long Term Evolution for Railway) communication system based on a cascade neural network is developed to quickly analyze the impact of pantograph arcing on the LTE-R system during vehicle [...] Read more.
In this paper, a fast prediction model of the electromagnetic response of the LTE-R (Long Term Evolution for Railway) communication system based on a cascade neural network is developed to quickly analyze the impact of pantograph arcing on the LTE-R system during vehicle operation. In order to obtain the coupling disturbance level of the LTE-R antenna port, this model uses the cascade neural network based on the PSO-BP (Particle Swarm Optimization of Back Propagation Neural Network) algorithm to quickly solve the coupling coefficient of the pantograph arcing measurement probe and the antenna port. A two-stage BP neural network model is used to train both the simulation data and measurement data, and the results are validated by field tests. Finally, the antenna port coupling interference is added to the LTE-R system to analyze the impact of pantograph arcing on the quality of communication transmission. Analysis and tests demonstrate that pantograph arcing can lead to an increase in the BLER of LTE-R systems at 400 MHz, affecting system performance and transmission efficiency. Full article
(This article belongs to the Special Issue Vehicles in Electromagnetic Environments)
Show Figures

Figure 1

Back to TopTop