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2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)最新文献

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Stochastic Analysis of Human Exposure Assessment by Surrogate Model 用替代模型评估人体暴露的随机分析
2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM) Pub Date : 2021-01-04 DOI: 10.23919/USNC-URSINRSM51531.2021.9336475
Botian Zhang, Y. Rahmat-Samii
{"title":"Stochastic Analysis of Human Exposure Assessment by Surrogate Model","authors":"Botian Zhang, Y. Rahmat-Samii","doi":"10.23919/USNC-URSINRSM51531.2021.9336475","DOIUrl":"https://doi.org/10.23919/USNC-URSINRSM51531.2021.9336475","url":null,"abstract":"Despite recent advances in the field, the stochastic analysis of EM models is still time-consuming. Thus, the approximation of the EM model by a surrogate model is often the only choice if a sufficient amount of simulations is required. This paper provides a systematic and novel methodology to implement the polynomial chaos expansion surrogate models in stochastic analysis. The necessary steps in the construction of surrogate model based on polynomial chaos expansion are explained. As an example, we estimate the statistics of the specific absorption rate of a smart watch GSM antenna on a human wrist. Results show that the proposed method is accurate and time-saving in the cases when numerous rounds of simulation are required.","PeriodicalId":180982,"journal":{"name":"2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130388135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Clutter Removal of GPR Data using Complex Natural Resonance Extraction 基于复杂自然共振提取的探地雷达数据杂波去除
2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM) Pub Date : 2021-01-04 DOI: 10.23919/USNC-URSINRSM51531.2021.9336515
J. Pantoja, E. F. Ruiz, F. Vega, D. Chaparro-Arce, C. Kasmi
{"title":"Clutter Removal of GPR Data using Complex Natural Resonance Extraction","authors":"J. Pantoja, E. F. Ruiz, F. Vega, D. Chaparro-Arce, C. Kasmi","doi":"10.23919/USNC-URSINRSM51531.2021.9336515","DOIUrl":"https://doi.org/10.23919/USNC-URSINRSM51531.2021.9336515","url":null,"abstract":"In this paper we present a technique to remove clutter components on B-scans of ground penetrating radar. The technique is based on the complex resonance expansion of the signal, and the removal of poles associated with the clutter. For illustration technique is demonstrated on a buried metal sheet. Results show that the object is clearly highlighted and the clutter reduced in the B-Scan after applying the proposed technique.","PeriodicalId":180982,"journal":{"name":"2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132332838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Deployable Hexagonal Reflectarray Antenna for Space Applications 空间应用的可展开六角形反射天线
2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM) Pub Date : 2021-01-04 DOI: 10.23919/USNC-URSINRSM51531.2021.9336518
Antonio J. Rubio, Abdul-Sattar Kaddour, S. Georgakopoulos, Collin Ynchausti, S. Magleby, L. Howell
{"title":"A Deployable Hexagonal Reflectarray Antenna for Space Applications","authors":"Antonio J. Rubio, Abdul-Sattar Kaddour, S. Georgakopoulos, Collin Ynchausti, S. Magleby, L. Howell","doi":"10.23919/USNC-URSINRSM51531.2021.9336518","DOIUrl":"https://doi.org/10.23919/USNC-URSINRSM51531.2021.9336518","url":null,"abstract":"In this paper, a novel deployable reflectarray aperture for CubeSats is introduced. The proposed aperture achieved an aperture efficiency, $boldsymbol{eta}_{a}$, of 78%. When compared to the traditional rectangular aperture, the proposed aperture increases the $boldsymbol{eta}_{a}$ by 8% while maintaining equivalent packing efficiency. The results of this study were obtained analytically. The proposed aperture can be used to increase the efficiency of space communications systems while providing optimal packing efficiency.","PeriodicalId":180982,"journal":{"name":"2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","volume":"15 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127518385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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