A Method of Superposition for Analysis of the Electrically Large Problem Including Many Vehicles

Chan Sun Park, Yi Ru Jeong, Kibum Jung, Jaekon Shin, Jong Gwan Yook

Research output: Contribution to journalArticle

Abstract

Commercialization and proliferation of intelligent transport systems (ITS) are progressing worldwide, including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. Meanwhile, analysis of the related electromagnetic environment is essential for safety-related legislation. However, the theoretical analysis for multiple vehicles poses an electrically large problem and requires enormous computational resources. In this letter, we propose a method of superposition that requires much less computational resources by subgrouping the computational domain and using an efficient post-processing method. The proposed method approximates the original problem by superpositioning the individual subdomain analysis data, including scatterers near the source and observation points. This letter also presents guidelines for applying the proposed method and examples for comparison with full analysis results.

Original languageEnglish
Article number7105847
Pages (from-to)102-105
Number of pages4
JournalIEEE Antennas and Wireless Propagation Letters
Volume15
DOIs
Publication statusPublished - 2016 Jan 1

Fingerprint

Communication
Processing

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

@article{b0ed20bd49f5477282cab9271435f931,
title = "A Method of Superposition for Analysis of the Electrically Large Problem Including Many Vehicles",
abstract = "Commercialization and proliferation of intelligent transport systems (ITS) are progressing worldwide, including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. Meanwhile, analysis of the related electromagnetic environment is essential for safety-related legislation. However, the theoretical analysis for multiple vehicles poses an electrically large problem and requires enormous computational resources. In this letter, we propose a method of superposition that requires much less computational resources by subgrouping the computational domain and using an efficient post-processing method. The proposed method approximates the original problem by superpositioning the individual subdomain analysis data, including scatterers near the source and observation points. This letter also presents guidelines for applying the proposed method and examples for comparison with full analysis results.",
author = "Park, {Chan Sun} and Jeong, {Yi Ru} and Kibum Jung and Jaekon Shin and Yook, {Jong Gwan}",
year = "2016",
month = "1",
day = "1",
doi = "10.1109/LAWP.2015.2432121",
language = "English",
volume = "15",
pages = "102--105",
journal = "IEEE Antennas and Wireless Propagation Letters",
issn = "1536-1225",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

A Method of Superposition for Analysis of the Electrically Large Problem Including Many Vehicles. / Park, Chan Sun; Jeong, Yi Ru; Jung, Kibum; Shin, Jaekon; Yook, Jong Gwan.

In: IEEE Antennas and Wireless Propagation Letters, Vol. 15, 7105847, 01.01.2016, p. 102-105.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A Method of Superposition for Analysis of the Electrically Large Problem Including Many Vehicles

AU - Park, Chan Sun

AU - Jeong, Yi Ru

AU - Jung, Kibum

AU - Shin, Jaekon

AU - Yook, Jong Gwan

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Commercialization and proliferation of intelligent transport systems (ITS) are progressing worldwide, including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. Meanwhile, analysis of the related electromagnetic environment is essential for safety-related legislation. However, the theoretical analysis for multiple vehicles poses an electrically large problem and requires enormous computational resources. In this letter, we propose a method of superposition that requires much less computational resources by subgrouping the computational domain and using an efficient post-processing method. The proposed method approximates the original problem by superpositioning the individual subdomain analysis data, including scatterers near the source and observation points. This letter also presents guidelines for applying the proposed method and examples for comparison with full analysis results.

AB - Commercialization and proliferation of intelligent transport systems (ITS) are progressing worldwide, including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. Meanwhile, analysis of the related electromagnetic environment is essential for safety-related legislation. However, the theoretical analysis for multiple vehicles poses an electrically large problem and requires enormous computational resources. In this letter, we propose a method of superposition that requires much less computational resources by subgrouping the computational domain and using an efficient post-processing method. The proposed method approximates the original problem by superpositioning the individual subdomain analysis data, including scatterers near the source and observation points. This letter also presents guidelines for applying the proposed method and examples for comparison with full analysis results.

UR - http://www.scopus.com/inward/record.url?scp=84961960564&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84961960564&partnerID=8YFLogxK

U2 - 10.1109/LAWP.2015.2432121

DO - 10.1109/LAWP.2015.2432121

M3 - Article

AN - SCOPUS:84961960564

VL - 15

SP - 102

EP - 105

JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

SN - 1536-1225

M1 - 7105847

ER -