Robust and reliable communication is a necessity for maintaining the integrity of electronic systems. However, this can be severely impacted by electromagnetic interference (EMI) and the increasing complexity of electromagnetic environments, which introduces new sources of uncertainty. Fortunately, adaptive learning strategies provide promising solutions to overcome these obstacles. In this study, we have evaluated the performance of an adaptive Bayesian decision algorithm that can effectively mitigate the impact of EMI in triple modular redundant channels subjected to multiple single-frequency disturbances. The proposed strategy for hyperparameter tuning allows for optimization of data accuracy and availability. Compared to conventional supervised machine learning techniques, the inherent adaptive capabilities of the Bayesian approach demonstrate superior performance by dynamically adjusting to changes in the received symbol distributions, particularly under conditions of high symbol error rates. This adaptability proved crucial in achieving high classification accuracy (92.59%). The proposed adaptive Bayesian algorithm stands out for its robustness and enhanced performance, presenting a promising solution for its application to dynamic electromagnetic environments characterized by high variability and uncertainty.
{"title":"An Optimized Adaptive Bayesian Algorithm for Mitigating EMI-Induced Errors in Dynamic Electromagnetic Environments","authors":"Miriam Gonzalez-Atienza;Dries Vanoost;Mathias Verbeke;Davy Pissoort","doi":"10.1109/TEMC.2024.3482565","DOIUrl":"10.1109/TEMC.2024.3482565","url":null,"abstract":"Robust and reliable communication is a necessity for maintaining the integrity of electronic systems. However, this can be severely impacted by electromagnetic interference (EMI) and the increasing complexity of electromagnetic environments, which introduces new sources of uncertainty. Fortunately, adaptive learning strategies provide promising solutions to overcome these obstacles. In this study, we have evaluated the performance of an adaptive Bayesian decision algorithm that can effectively mitigate the impact of EMI in triple modular redundant channels subjected to multiple single-frequency disturbances. The proposed strategy for hyperparameter tuning allows for optimization of data accuracy and availability. Compared to conventional supervised machine learning techniques, the inherent adaptive capabilities of the Bayesian approach demonstrate superior performance by dynamically adjusting to changes in the received symbol distributions, particularly under conditions of high symbol error rates. This adaptability proved crucial in achieving high classification accuracy (92.59%). The proposed adaptive Bayesian algorithm stands out for its robustness and enhanced performance, presenting a promising solution for its application to dynamic electromagnetic environments characterized by high variability and uncertainty.","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"66 6","pages":"2085-2094"},"PeriodicalIF":2.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142541234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-29DOI: 10.1109/temc.2024.3463398
Wenzhi Wang, Xiaoning Ye
{"title":"Semitopological Expansion for Link Decomposition Analysis","authors":"Wenzhi Wang, Xiaoning Ye","doi":"10.1109/temc.2024.3463398","DOIUrl":"https://doi.org/10.1109/temc.2024.3463398","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"82 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142541197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-28DOI: 10.1109/TEMC.2024.3478149
{"title":"IEEE Open Access Publishing","authors":"","doi":"10.1109/TEMC.2024.3478149","DOIUrl":"https://doi.org/10.1109/TEMC.2024.3478149","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"66 5","pages":"1696-1696"},"PeriodicalIF":2.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10737013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Machine Learning Based Hybrid Algorithm for Partial Discharge Localization in Power Transformers","authors":"Dorsay Kashani-Gharavi, Reza Faraji-Dana, Hassan Reza Mirzaei","doi":"10.1109/temc.2024.3482432","DOIUrl":"https://doi.org/10.1109/temc.2024.3482432","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"143 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-28DOI: 10.1109/temc.2024.3474038
Stanislav Stefanov Zhekov, Bo Xu
{"title":"Evaluation of EMF Exposure From Distributed MIMO Antennas for 6G in an Industrial Indoor Environment","authors":"Stanislav Stefanov Zhekov, Bo Xu","doi":"10.1109/temc.2024.3474038","DOIUrl":"https://doi.org/10.1109/temc.2024.3474038","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"2 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-28DOI: 10.1109/temc.2024.3477634
Ye Han, Jiajun Chen, Tao Fu, Quan Xue, Wenquan Che
{"title":"Frequency Selective Absorbers Based on Aramid-Paper Honeycomb Structures","authors":"Ye Han, Jiajun Chen, Tao Fu, Quan Xue, Wenquan Che","doi":"10.1109/temc.2024.3477634","DOIUrl":"https://doi.org/10.1109/temc.2024.3477634","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"134 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-28DOI: 10.1109/TEMC.2024.3462071
{"title":"IEEE Transactions on Electromagnetic Compatibility Information for Authors","authors":"","doi":"10.1109/TEMC.2024.3462071","DOIUrl":"https://doi.org/10.1109/TEMC.2024.3462071","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"66 5","pages":"C3-C3"},"PeriodicalIF":2.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10737010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-28DOI: 10.1109/TEMC.2024.3481632
Brahim El Mokhtari;Charles Jullien;Pierre Bonnet
Crosstalk phenomena cause major electromagnetic compatibility and signal integrity issues. For this reason, many studies have been carried out in an attempt to mitigate them. Solutions have been proposed, but the complexity of their implementation and the additional costs involved sometimes make them difficult to apply in practice. In this article, we propose a novel active suppression of known transient crosstalk disturbances for linear systems. A classical configuration with a power line disturbing a data line is numerically studied. The idea is to find a temporal signal, including all the system imperfection's, to cancel the resulting crosstalk. Different ways to generate this correction signal are explored. Crosstalk attenuation levels around 60 dB are reported. Applications to signal integrity are also presented as well as the possibility of virtual crosstalk measurements. The effectiveness and the high versatility in the implementation of the proposed process offer an alternative to conventional shielding or cable segregation solutions.
{"title":"Active Suppression of Transient Crosstalk Disturbances in Transmission Line Networks","authors":"Brahim El Mokhtari;Charles Jullien;Pierre Bonnet","doi":"10.1109/TEMC.2024.3481632","DOIUrl":"10.1109/TEMC.2024.3481632","url":null,"abstract":"Crosstalk phenomena cause major electromagnetic compatibility and signal integrity issues. For this reason, many studies have been carried out in an attempt to mitigate them. Solutions have been proposed, but the complexity of their implementation and the additional costs involved sometimes make them difficult to apply in practice. In this article, we propose a novel active suppression of known transient crosstalk disturbances for linear systems. A classical configuration with a power line disturbing a data line is numerically studied. The idea is to find a temporal signal, including all the system imperfection's, to cancel the resulting crosstalk. Different ways to generate this correction signal are explored. Crosstalk attenuation levels around 60 dB are reported. Applications to signal integrity are also presented as well as the possibility of virtual crosstalk measurements. The effectiveness and the high versatility in the implementation of the proposed process offer an alternative to conventional shielding or cable segregation solutions.","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"66 6","pages":"1900-1908"},"PeriodicalIF":2.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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