PROJECT 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 surroundings is essential for safety-connected legislation. However, the theoretical analysis for multiple vehicles poses an electrically massive downside and needs huge computational resources. In this letter, we tend to propose a methodology of superposition that requires abundant less computational resources by subgrouping the computational domain and using an economical post-processing technique. The proposed method approximates the initial downside by superpositioning the individual subdomain analysis information, together with scatterers close to the supply and observation points. This letter additionally presents tips for applying the proposed method and examples for comparison with full analysis results.


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