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 language | English |
|---|---|
| Article number | 7105847 |
| Pages (from-to) | 102-105 |
| Number of pages | 4 |
| Journal | IEEE Antennas and Wireless Propagation Letters |
| Volume | 15 |
| DOIs | |
| Publication status | Published - 2016 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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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 journal › Article
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 -