Conference Agenda

This research presents an analysis of electromagnetic interference (EMI) affecting Radio-based positioning readers deployed in logistic rail transport systems, where they serve as critical components of the train position determination subsystem. As modern rail operations continue to evolve toward higher levels of automation, reliable positioning becomes increasingly essential to ensure operational safety, traffic flow stability, and overall system efficiency. However, the electromagnetic environment within rail infrastructure is inherently complex due to dense electrical installations, extensive metallic structures, and the coexistence of multiple overlapping communication and control subsystems. These systems include signaling networks, wireless communications, and onboard electronics. As a result, the railway environment is highly susceptible to electromagnetic interference (EMI), where unwanted electromagnetic energy can disrupt the normal operation of equipment. This complex interaction of emissions increases the risk of performance degradation, signal corruption, or even system malfunction making effective electromagnetic compatibility (EMC) design and mitigation strategies essential for ensuring safe and reliable operations.

The research integrates full-wave electromagnetic simulation using advanced 3D numerical solvers to model the complete coupling pathway from interference sources to the positioning reader antenna. The modeling incorporates multilayer dielectric boundaries, conductive enclosures, and realistic rail vehicle underbody geometries, enabling accurate characterization of both near-field and far-field interference phenomena. Electromagnetic field (EM field) extraction is employed to quantify coupling intensities under various installation configurations and structural alignments. Furthermore, simulation results are systematically validated through parametric studies examining material conductivity, geometric separation, and relative positioning, allowing the identification of worst-case EMI scenarios likely to occur under real-world operating conditions.

By combining numerical modeling with EMI pathway identification, this study aims to significantly enhance the reliability of Radio-based positioning systems. The results establish a robust engineering framework that supports consistent system performance, reduces susceptibility to electromagnetic disturbances, and improves the stability of localization algorithms. Furthermore, unresolved EMI effects can introduce system-level disruptions, including repeated signal reprocessing, misread recovery cycles, and delayed decision-making, which collectively contribute to increased latency and reduced efficiency within overall logistics operations. Ultimately, this work contributes to safer and more efficient operations by ensuring accurate and reliable position detection even in electromagnetically challenging environments.