Pub Date : 2020-07-05DOI: 10.23919/USNC/URSI49741.2020.9321649
Yanyan Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen
Solving inverse problems accurately and efficiently has always been an important issue in subsurface sensing. Pure data-driven machine learning methods have achieved great success in the past few years, but these methods still face questions about reliability. At the same time, extremely massive data without any physical guidance may lead to missing opportunities for breakthroughs. In this paper, we propose a physics-driven deep learning framework for providing a fast and accurate surrogate to solve non-linear inverse problems. Particularly, leveraged by the forward physical model and 1D Convolutional Neural Network (CNN), the proposed method provides more reliable solutions to the inverse problem with improved performance. Applications for magnetotelluric data inversion demonstrate the effectiveness of our method.
{"title":"A Physics-Driven Deep-Learning Inverse Solver for Subsurface Sensing","authors":"Yanyan Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen","doi":"10.23919/USNC/URSI49741.2020.9321649","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321649","url":null,"abstract":"Solving inverse problems accurately and efficiently has always been an important issue in subsurface sensing. Pure data-driven machine learning methods have achieved great success in the past few years, but these methods still face questions about reliability. At the same time, extremely massive data without any physical guidance may lead to missing opportunities for breakthroughs. In this paper, we propose a physics-driven deep learning framework for providing a fast and accurate surrogate to solve non-linear inverse problems. Particularly, leveraged by the forward physical model and 1D Convolutional Neural Network (CNN), the proposed method provides more reliable solutions to the inverse problem with improved performance. Applications for magnetotelluric data inversion demonstrate the effectiveness of our method.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130442815","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}
Pub Date : 2020-07-05DOI: 10.23919/USNC/URSI49741.2020.9321612
N. Barani, K. Sarabandi
This paper presents a quantitative comparison between electromagnetic-based and biochemical-based communication within community of biological cells. The concept of cell-to-cell communication via electromagnetic signaling has been recently postulated. It is shown that certain bacteria within their biofilms are equipped with antennas allowing them to transmit and receive signals to their neighboring cells and surrounding environment. Here, using communication channel modeling, we examine the maximum channel capacity and its variation as a function of distance based on both concepts and show EM signaling outperforms quorum sensing so far as data rate and communication distance are concerned. Fick's diffusion equation is combined with information theory fundamental equations for channel modeling of quorum sensing and Shannon channel capacity theorem is applied to EM-based communication channel for estimating the channel capacity. Results indicate that the EM-based communication provides much higher channel capacity compared to the quorum sensing.
{"title":"Biological Cell Communication: Quorum Sensing Versus Electromagnetic Signaling","authors":"N. Barani, K. Sarabandi","doi":"10.23919/USNC/URSI49741.2020.9321612","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321612","url":null,"abstract":"This paper presents a quantitative comparison between electromagnetic-based and biochemical-based communication within community of biological cells. The concept of cell-to-cell communication via electromagnetic signaling has been recently postulated. It is shown that certain bacteria within their biofilms are equipped with antennas allowing them to transmit and receive signals to their neighboring cells and surrounding environment. Here, using communication channel modeling, we examine the maximum channel capacity and its variation as a function of distance based on both concepts and show EM signaling outperforms quorum sensing so far as data rate and communication distance are concerned. Fick's diffusion equation is combined with information theory fundamental equations for channel modeling of quorum sensing and Shannon channel capacity theorem is applied to EM-based communication channel for estimating the channel capacity. Results indicate that the EM-based communication provides much higher channel capacity compared to the quorum sensing.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130766946","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}
Pub Date : 2020-07-05DOI: 10.23919/USNC/URSI49741.2020.9321673
Zhijing Hu, Z. Wang, Yanlin Li, T. Shen, T. Wong
Plasmonic interactions in semiconductor nanoparticles offer the potential of sensors and devices applications in the terahertz frequency range. Charge transport based analysis and simulation of polarization in a semiconductor nanodimer are computationally intensive. A point-dipole decomposition formulation to facilitate time-efficient estimation of the total dipole moment induced by a terahertz electric field on a semiconductor nanodimer is presented. Coupling interactions among the constituent dipoles characterized by their effective local fields provide the basis for a system of algebraic equations from which the total polarization of the dimer can be obtained. Numerical results by this formulation are in very good agreement with that obtained with a finite-element simulation tool applied directly on the nanodimer, with provision to account for space-charge effects.
{"title":"A Fast Method for Estimation of Terahertz Polarization in a Semiconductor Nanodimer","authors":"Zhijing Hu, Z. Wang, Yanlin Li, T. Shen, T. Wong","doi":"10.23919/USNC/URSI49741.2020.9321673","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321673","url":null,"abstract":"Plasmonic interactions in semiconductor nanoparticles offer the potential of sensors and devices applications in the terahertz frequency range. Charge transport based analysis and simulation of polarization in a semiconductor nanodimer are computationally intensive. A point-dipole decomposition formulation to facilitate time-efficient estimation of the total dipole moment induced by a terahertz electric field on a semiconductor nanodimer is presented. Coupling interactions among the constituent dipoles characterized by their effective local fields provide the basis for a system of algebraic equations from which the total polarization of the dimer can be obtained. Numerical results by this formulation are in very good agreement with that obtained with a finite-element simulation tool applied directly on the nanodimer, with provision to account for space-charge effects.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130646742","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}
Pub Date : 2020-07-05DOI: 10.23919/USNC/URSI49741.2020.9321607
Jie Chen, Fang Ye, T. Jiang, Yibing Li
In large monitoring area, sensors in the wireless sensor network (WSN) needs to send the environmental information back to distant base station. To solve the potential problems of information transmission quality and energy consumption in WSN, unmanned aerial vehicle (UAV) is adopted to collect the observation information from sensors and charge them. In this paper, a two-layer task assignment strategy is proposed to realize the information collection (IC) and energy charging (EC) in WSN. Firstly, the whole monitoring area of wireless sensor network is divided into multiple subregions. According to the task needs of each subregions, base station will send different multi-UAV teams to perform IC and EC tasks on these subregions. Then, to minimize the flight paths of multi-UAV team in each subregions, consensus-based bundle algorithm is used to generate corresponding task assignment schedules. Simulations demonstrate that the proposed two-layer task assignment strategy ensures that sensors in the WSN can upload observation promptly and have sufficient energy.
{"title":"Information Collection and Energy Charging for UAV-aided Wireless Sensor Network Based on a Two-layer Task Assignment Strategy","authors":"Jie Chen, Fang Ye, T. Jiang, Yibing Li","doi":"10.23919/USNC/URSI49741.2020.9321607","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321607","url":null,"abstract":"In large monitoring area, sensors in the wireless sensor network (WSN) needs to send the environmental information back to distant base station. To solve the potential problems of information transmission quality and energy consumption in WSN, unmanned aerial vehicle (UAV) is adopted to collect the observation information from sensors and charge them. In this paper, a two-layer task assignment strategy is proposed to realize the information collection (IC) and energy charging (EC) in WSN. Firstly, the whole monitoring area of wireless sensor network is divided into multiple subregions. According to the task needs of each subregions, base station will send different multi-UAV teams to perform IC and EC tasks on these subregions. Then, to minimize the flight paths of multi-UAV team in each subregions, consensus-based bundle algorithm is used to generate corresponding task assignment schedules. Simulations demonstrate that the proposed two-layer task assignment strategy ensures that sensors in the WSN can upload observation promptly and have sufficient energy.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134108064","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}
Pub Date : 2020-07-05DOI: 10.23919/USNC/URSI49741.2020.9321637
H. Wang, R. Abedi, S. Mudaliar
The radiative transfer equation (RTE) for two-dimensional problem is solved using the parallel space-angle discontinuous Galerkin (DG) finite element method (FEM). To parallelize the solving process, both domain decomposition (DD) and angular decomposition (AD) methods are applied. These methods are validated against exact solutions. A few benchmark problems are investigated to study the performance of the parallel DG solver.
{"title":"A Parallel Space-angle Discontinuous Galerkin Method for Radiative Transfer in Two-dimensional Rectangular Enclosures","authors":"H. Wang, R. Abedi, S. Mudaliar","doi":"10.23919/USNC/URSI49741.2020.9321637","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321637","url":null,"abstract":"The radiative transfer equation (RTE) for two-dimensional problem is solved using the parallel space-angle discontinuous Galerkin (DG) finite element method (FEM). To parallelize the solving process, both domain decomposition (DD) and angular decomposition (AD) methods are applied. These methods are validated against exact solutions. A few benchmark problems are investigated to study the performance of the parallel DG solver.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115891139","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}
Pub Date : 2020-07-05DOI: 10.23919/USNC/URSI49741.2020.9321616
N. Ghassemi, M. Ghassemi, A. Abdellatif, M. Nezhad-Ahmadi, S. Safavi-Naeini
This paper presents a novel low-cost transition technology for interconnecting micro-strip line to SIW to WR10 waveguide on a thin substrate designed for characterization of 79GHz antennas. The proposed transition is based on matching the WR10 waveguide to an SIW cavity using a dielectric cube of a material with lower dielectric constant followed by an SIW-to-micro-strip-line transition. This paper shows that utilizing the dielectric cube can increase the bandwidth of the transition on thin substrates. The proposed transition has an insertion loss of less than 1dB over a wide range of frequencies (76GHz to 81GHz). Measurement results are in good agreement with the simulations.
{"title":"Wideband Waveguide to SIW to Microstrip Transition for 79 GHz Automotive Radar Antenna Characterization","authors":"N. Ghassemi, M. Ghassemi, A. Abdellatif, M. Nezhad-Ahmadi, S. Safavi-Naeini","doi":"10.23919/USNC/URSI49741.2020.9321616","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321616","url":null,"abstract":"This paper presents a novel low-cost transition technology for interconnecting micro-strip line to SIW to WR10 waveguide on a thin substrate designed for characterization of 79GHz antennas. The proposed transition is based on matching the WR10 waveguide to an SIW cavity using a dielectric cube of a material with lower dielectric constant followed by an SIW-to-micro-strip-line transition. This paper shows that utilizing the dielectric cube can increase the bandwidth of the transition on thin substrates. The proposed transition has an insertion loss of less than 1dB over a wide range of frequencies (76GHz to 81GHz). Measurement results are in good agreement with the simulations.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122960540","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}
Pub Date : 2020-07-05DOI: 10.23919/USNC/URSI49741.2020.9321661
Chunxia Su, Fang Ye, Shanya Cong, Yuan Tian
To meet the ever-increasing requirements of high data transmission rates by Internet of Things (IoT) users, ultradense heterogeneous network (HetNet) is introduced for its excellent performance in enhancing cell coverage and improving system throughput. However, the sophisticated structure in ultradense HetNet makes user association become a crucial problem. Thus, this paper focuses on the user association problem in ultradense HetNet, aiming at maximizing system throughput. Then a difference based matching algorithm is proposed, in which the achievable rate difference between the current request and the next request is taken into account when multiple IoT users compete for the access opportunity with the same low power points (LPPs). Simulation results show that the proposed algorithm can achieve both the highest system sum-throughput and the best fairness compared with the four comparison algorithms.
{"title":"Difference Based Matching Algorithm for User Association Problem in Ultra-Dense Heterogeneous Networks","authors":"Chunxia Su, Fang Ye, Shanya Cong, Yuan Tian","doi":"10.23919/USNC/URSI49741.2020.9321661","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321661","url":null,"abstract":"To meet the ever-increasing requirements of high data transmission rates by Internet of Things (IoT) users, ultradense heterogeneous network (HetNet) is introduced for its excellent performance in enhancing cell coverage and improving system throughput. However, the sophisticated structure in ultradense HetNet makes user association become a crucial problem. Thus, this paper focuses on the user association problem in ultradense HetNet, aiming at maximizing system throughput. Then a difference based matching algorithm is proposed, in which the achievable rate difference between the current request and the next request is taken into account when multiple IoT users compete for the access opportunity with the same low power points (LPPs). Simulation results show that the proposed algorithm can achieve both the highest system sum-throughput and the best fairness compared with the four comparison algorithms.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130390041","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}
Pub Date : 2020-07-05DOI: 10.23919/USNC/URSI49741.2020.9321636
Sara Salem Hesari, L. Knee
Three different feed horn antennas for radio astronomy applications are presented in this paper. Feed structures including Choked ring horn, conical corrugated horn, and exponentially shaped quad-ridged horn are designed and simulated. Circular waveguide with same diameter is used for exciting the dominant TE11 mode in the input of all proposed antennas. The performance of each feed horn regarding the beamwidth, gain, cross polarization and side lobe levels are investigated in Q-band frequency range.
{"title":"Design and analysis of three Q-band Feed Horns for Radio astronomy applications","authors":"Sara Salem Hesari, L. Knee","doi":"10.23919/USNC/URSI49741.2020.9321636","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321636","url":null,"abstract":"Three different feed horn antennas for radio astronomy applications are presented in this paper. Feed structures including Choked ring horn, conical corrugated horn, and exponentially shaped quad-ridged horn are designed and simulated. Circular waveguide with same diameter is used for exciting the dominant TE11 mode in the input of all proposed antennas. The performance of each feed horn regarding the beamwidth, gain, cross polarization and side lobe levels are investigated in Q-band frequency range.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126961305","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}
Pub Date : 2020-07-05DOI: 10.23919/usnc/ursi49741.2020.9321598
R. J. Sprungle, E. Kuester
We investigate a lower bound for the length of a nonuniform transmission line which produces impedance matching of a real load impedance to a real input impedance. Derived length limits are compared to lengths of known impedance transforming circuits.
{"title":"Length Limits for Perfectly Matched Transmission Line Impedance Transformation","authors":"R. J. Sprungle, E. Kuester","doi":"10.23919/usnc/ursi49741.2020.9321598","DOIUrl":"https://doi.org/10.23919/usnc/ursi49741.2020.9321598","url":null,"abstract":"We investigate a lower bound for the length of a nonuniform transmission line which produces impedance matching of a real load impedance to a real input impedance. Derived length limits are compared to lengths of known impedance transforming circuits.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"120 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113945672","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}
Pub Date : 2020-07-05DOI: 10.23919/USNC/URSI49741.2020.9321647
Jaejin Lee, Hao-han Hsu
A new system-level RF desense characterization technique is investigated to assess platform noise in mobile computer systems. The technique uses a highly tuned antenna probe that provides 8-dB higher noise detection sensitivity in Wi-Fi band of interest than conventional near-field probe technique. This characterization technique is validated with mobile PC system and demonstrates accurate spatial RFI noise distribution. In addition, the low-RFI regions are identified and show improved Wi-Fi throughput performance. The presented desense characterization technique can be used to improve radio system performance and mitigate potential RFI risk in mobile computer system applications.
{"title":"System-Level RF Desense Characterization for Mobile Computer Applications","authors":"Jaejin Lee, Hao-han Hsu","doi":"10.23919/USNC/URSI49741.2020.9321647","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321647","url":null,"abstract":"A new system-level RF desense characterization technique is investigated to assess platform noise in mobile computer systems. The technique uses a highly tuned antenna probe that provides 8-dB higher noise detection sensitivity in Wi-Fi band of interest than conventional near-field probe technique. This characterization technique is validated with mobile PC system and demonstrates accurate spatial RFI noise distribution. In addition, the low-RFI regions are identified and show improved Wi-Fi throughput performance. The presented desense characterization technique can be used to improve radio system performance and mitigate potential RFI risk in mobile computer system applications.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133145341","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：