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2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)最新文献

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USNC-URSI 2022 Cover Page USNC-URSI 2022封面页
2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) Pub Date : 2022-07-10 DOI: 10.23919/usnc-ursi52669.2022.9887395
{"title":"USNC-URSI 2022 Cover Page","authors":"","doi":"10.23919/usnc-ursi52669.2022.9887395","DOIUrl":"https://doi.org/10.23919/usnc-ursi52669.2022.9887395","url":null,"abstract":"","PeriodicalId":104242,"journal":{"name":"2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123206922","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
Computing vertical refractivity profiles by neural networks. Comparison with bulk model results 利用神经网络计算垂直折射率剖面。与本体模型结果的比较
2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) Pub Date : 2022-07-10 DOI: 10.23919/USNC-URSI52669.2022.9887373
J. Claverie, J. Motsch
{"title":"Computing vertical refractivity profiles by neural networks. Comparison with bulk model results","authors":"J. Claverie, J. Motsch","doi":"10.23919/USNC-URSI52669.2022.9887373","DOIUrl":"https://doi.org/10.23919/USNC-URSI52669.2022.9887373","url":null,"abstract":"As ducting situations considerably modify the radar coverages in maritime situations, it is of major importance to characterize the corresponding refractivity profiles. A promising solution could be to use Neural Networks methods. Once trained by physical models they could be computationally efficient. Actually, the errors introduced by these techniques in terms of propagation results lies between 3 and 5 dB for a classical radar scenario. So other NN implementations with more hidden layers will have to be tested in the future.","PeriodicalId":104242,"journal":{"name":"2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116809957","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 Medium Frequency RF Sensor for Detection of Magnetized Quark Nuggets 一种检测磁化夸克块的中频射频传感器
2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) Pub Date : 2022-07-01 DOI: 10.23919/USNC-URSI52669.2022.9887403
Marquan Chaney, J. Borchardt
{"title":"A Medium Frequency RF Sensor for Detection of Magnetized Quark Nuggets","authors":"Marquan Chaney, J. Borchardt","doi":"10.23919/USNC-URSI52669.2022.9887403","DOIUrl":"https://doi.org/10.23919/USNC-URSI52669.2022.9887403","url":null,"abstract":"It is hypothesized that dark matter comprises particles called quark nuggets, and that these particles have a permanent magnetic dipole moment. Assuming the hypothesis is true, calculations predict that interaction with the earth’s magnetosphere should cause oscillation of a magnetized quark nugget (MQN), as well as an emission of RF radiation between 30 kHz and 30 MHz This paper describes a loop antenna designed and developed to operate between 300 kHz and 3 MHz for the purpose of testing the aforementioned hypothesis.","PeriodicalId":104242,"journal":{"name":"2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131202501","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
Slice-Connection Clustering Algorithm for Tree Roots Recognition in Noisy 3D GPR Data 三维GPR噪声数据中树根识别的切片连接聚类算法
2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) Pub Date : 2022-03-08 DOI: 10.23919/USNC-URSI52669.2022.9887449
Wenhao Luo, Yee Hui Lee, L. Ow, Mohamed Lokman Mohd Yusof, A. Yucel
{"title":"Slice-Connection Clustering Algorithm for Tree Roots Recognition in Noisy 3D GPR Data","authors":"Wenhao Luo, Yee Hui Lee, L. Ow, Mohamed Lokman Mohd Yusof, A. Yucel","doi":"10.23919/USNC-URSI52669.2022.9887449","DOIUrl":"https://doi.org/10.23919/USNC-URSI52669.2022.9887449","url":null,"abstract":"3D mapping of tree roots is a popular ground-penetrating radar (GPR) application. In real field tests, the recognition of tree roots suffers due to noisey reflection patterns from subsurface targets that are not of interest, such as rocks, cavities, soil unevenness, etc. A Slice-Connection Clustering Algorithm (SCC) is applied to separate the regions of interest from each other in a reconstructed 3D image. The proposed method can successfully recognize the radar signatures of the roots and distinguish roots from other objects. Meanwhile, most noise radar features are ignored through our method. The final 3D mapping of the radargram obtained by the method can be used to estimate the location and extension trend of the tree roots. The effectiveness of the proposed system is tested on real GPR data.","PeriodicalId":104242,"journal":{"name":"2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121647417","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
Observations on the Angular Statistics of the Indoor Sub-THz Radio Channel at 158 GHz 158ghz室内亚太赫兹无线电信道的角度统计观测
2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) Pub Date : 2022-03-02 DOI: 10.23919/USNC-URSI52669.2022.9887443
A. Schultze, W. Keusgen, M. Peter, Taro Eichler
{"title":"Observations on the Angular Statistics of the Indoor Sub-THz Radio Channel at 158 GHz","authors":"A. Schultze, W. Keusgen, M. Peter, Taro Eichler","doi":"10.23919/USNC-URSI52669.2022.9887443","DOIUrl":"https://doi.org/10.23919/USNC-URSI52669.2022.9887443","url":null,"abstract":"This paper presents selected results from a channel measurement campaign conducted in a shopping mall scenario at 158 GHz. The focus is on the statistical analysis of the collected measurement data in terms of directional channel gain. Although most power is received from the line-of-sight (LOS) direction, significant multipaths arrive from all measured azimuth directions. The median of the sorted directional channel gain can be approximated by a linear curve showing an offset of about 10 dB with respect to the LOS direction.","PeriodicalId":104242,"journal":{"name":"2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132709526","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: 3
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