Pub Date : 2020-07-05DOI: 10.23919/usnc/ursi49741.2020.9321660
{"title":"USNC/URSI 2020 Copyright Page","authors":"","doi":"10.23919/usnc/ursi49741.2020.9321660","DOIUrl":"https://doi.org/10.23919/usnc/ursi49741.2020.9321660","url":null,"abstract":"","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"76 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":"115058632","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/URSI49741.2020.9321678
Michael H. Lee, Zhelin Cao, Varun Maheshwari, Jingwen Wu, Edward Wheeler, Sun K. Hong
This paper outlines the use of PI-DORT with a time-of-flight algorithm for added robustness in detection and location of linear and nonlinear targets. DORT (French acronym for Decomposition of the Time Reversal Operator) allows for separation of multiple targets in multistatic detection. Pulse inversion (PI) has recently been used together with DORT to allow nonlinear scatterers to be discriminated from linear scatterers. In this paper, the resulting technique, PI-DORT, is augmented with a time-of-flight algorithm to improve the robustness of target location in a complex multi-target environment involving linear and nonlinear targets. The proposed method presents an integrated approach that combines PI-DORT and radar time-of-flight principles to localize individual targets with significantly reduced computational time.
{"title":"Detection and Location of Linear and Nonlinear Targets using PI-DORT and Time-of-Flight","authors":"Michael H. Lee, Zhelin Cao, Varun Maheshwari, Jingwen Wu, Edward Wheeler, Sun K. Hong","doi":"10.23919/USNC/URSI49741.2020.9321678","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321678","url":null,"abstract":"This paper outlines the use of PI-DORT with a time-of-flight algorithm for added robustness in detection and location of linear and nonlinear targets. DORT (French acronym for Decomposition of the Time Reversal Operator) allows for separation of multiple targets in multistatic detection. Pulse inversion (PI) has recently been used together with DORT to allow nonlinear scatterers to be discriminated from linear scatterers. In this paper, the resulting technique, PI-DORT, is augmented with a time-of-flight algorithm to improve the robustness of target location in a complex multi-target environment involving linear and nonlinear targets. The proposed method presents an integrated approach that combines PI-DORT and radar time-of-flight principles to localize individual targets with significantly reduced computational time.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"68 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":"121800223","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/URSI49741.2020.9321662
S. M. Ali, V. Jeoti, T. Saeidi, S. Mahmood, Irfan Khattak, Shahzad Khursheed
A novel wearable button antenna is proposed for the WLAN applications in 5G technology. The antenna is a button shape Roger substrate (a: 25mm) using a radiator on the top side of a disc, which enhances the users’ comfort and makes it a small size up to date in the literature. Besides, the button is placed on the top side of substrates (Roger, Denim-black) and a conductive ground (copper). Moreover, a superstrate substrate (felt) is used on the top side of a radiator. The main characteristic is showed in three types of radiation patterns, a monopole type in the 2.4538-2.587 GHz for On-body and a broadside in the 5.038-6.03 GHz for off-body communications. Next, the high performance is obtained concerning the gain, bandwidth, and radiation patterns during On-Off body communication, simultaneously. Besides, the lowest specific absorption rate (SAR) is obtained in different bands. Simulated and measurement results are found well. Finally, the effect of the human body is validated using the human hand (hantenna) as an antenna.
{"title":"WearableTriple-band Dual-mode Cross-shaped Button Antenna for WLAN Applications in 5G Technology","authors":"S. M. Ali, V. Jeoti, T. Saeidi, S. Mahmood, Irfan Khattak, Shahzad Khursheed","doi":"10.23919/USNC/URSI49741.2020.9321662","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321662","url":null,"abstract":"A novel wearable button antenna is proposed for the WLAN applications in 5G technology. The antenna is a button shape Roger substrate (a: 25mm) using a radiator on the top side of a disc, which enhances the users’ comfort and makes it a small size up to date in the literature. Besides, the button is placed on the top side of substrates (Roger, Denim-black) and a conductive ground (copper). Moreover, a superstrate substrate (felt) is used on the top side of a radiator. The main characteristic is showed in three types of radiation patterns, a monopole type in the 2.4538-2.587 GHz for On-body and a broadside in the 5.038-6.03 GHz for off-body communications. Next, the high performance is obtained concerning the gain, bandwidth, and radiation patterns during On-Off body communication, simultaneously. Besides, the lowest specific absorption rate (SAR) is obtained in different bands. Simulated and measurement results are found well. Finally, the effect of the human body is validated using the human hand (hantenna) as an antenna.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"24 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":"121858061","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/URSI49741.2020.9321621
S. A. Torrico, R. Lang
The objective of this paper is to use the ground measurements of tree biophysical parameters in conjunction with the exact 3D vector radiative transport theory to compute the attenuation of a propagating wave going through the canopy of a forest of coniferous trees. The ground measurements of trees were taken in a NASA site at a Natural Virginia pine forest at Goddard Geophysical and Astronomical Observatory. The canopy parameters were obtained from destructive sampling. The electrical characteristics of the branches and needles were measured. The exact 3-D vector radiative transport theory has been developed to compute the attenuation produced by a pine forest containing random located branches and needles. The branches and the needles are modeled as lossy-dielectric cylinders with prescribed orientation statistics. Results will show the importance of knowing the electrical and biophysical parameters of the forest to be able to predict with more certainty the attenuation of a coniferous forest.
{"title":"Prediction of Wave Attenuation from a Conifer Forest – 3-D Vector Transport Theory","authors":"S. A. Torrico, R. Lang","doi":"10.23919/USNC/URSI49741.2020.9321621","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321621","url":null,"abstract":"The objective of this paper is to use the ground measurements of tree biophysical parameters in conjunction with the exact 3D vector radiative transport theory to compute the attenuation of a propagating wave going through the canopy of a forest of coniferous trees. The ground measurements of trees were taken in a NASA site at a Natural Virginia pine forest at Goddard Geophysical and Astronomical Observatory. The canopy parameters were obtained from destructive sampling. The electrical characteristics of the branches and needles were measured. The exact 3-D vector radiative transport theory has been developed to compute the attenuation produced by a pine forest containing random located branches and needles. The branches and the needles are modeled as lossy-dielectric cylinders with prescribed orientation statistics. Results will show the importance of knowing the electrical and biophysical parameters of the forest to be able to predict with more certainty the attenuation of a coniferous forest.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"15 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":"125264149","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/URSI49741.2020.9321649
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/URSI49741.2020.9321664
T. Dolch, P. Andrews, Brent Cole, T. Creighton, L. Dartez, Alexander Dulemba, F. Jenet, Sashabaw Niedbalski, Caleb Ramette, Shane Smith
The Low-Frequency All-Sky Monitor is a radio telescope network consisting of five stations, each with 13 Long-Wavelength Array (LWA) antennas, distributed around the North American continent. The LWA antennas are arranged so as to form a wide-angle drift scan beam, sensitive to bright radio transients, astrophysical and ionospheric, at 10–88 MHz. The multiple stations can reliably verify astrophysical events by simultaneous detection. Adding the fifth station at Hillsdale College in Hillsdale, MI, provides a wider range of declination coverage for the project. Station V, like the previous four stations, was constructed by undergraduate researchers, who continue to operate and manage the telescope. Here we report on Station V’s "first light", and discuss future prospects.
{"title":"First Light for Station V of the Low-Frequency All-Sky Monitor Radio Telescope","authors":"T. Dolch, P. Andrews, Brent Cole, T. Creighton, L. Dartez, Alexander Dulemba, F. Jenet, Sashabaw Niedbalski, Caleb Ramette, Shane Smith","doi":"10.23919/USNC/URSI49741.2020.9321664","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321664","url":null,"abstract":"The Low-Frequency All-Sky Monitor is a radio telescope network consisting of five stations, each with 13 Long-Wavelength Array (LWA) antennas, distributed around the North American continent. The LWA antennas are arranged so as to form a wide-angle drift scan beam, sensitive to bright radio transients, astrophysical and ionospheric, at 10–88 MHz. The multiple stations can reliably verify astrophysical events by simultaneous detection. Adding the fifth station at Hillsdale College in Hillsdale, MI, provides a wider range of declination coverage for the project. Station V, like the previous four stations, was constructed by undergraduate researchers, who continue to operate and manage the telescope. Here we report on Station V’s \"first light\", and discuss future prospects.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"121 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":"125562238","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/ursi49741.2020.9321689
{"title":"USNC/URSI 2020 Steering Committees","authors":"","doi":"10.23919/usnc/ursi49741.2020.9321689","DOIUrl":"https://doi.org/10.23919/usnc/ursi49741.2020.9321689","url":null,"abstract":"","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"87 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":"127443808","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/URSI49741.2020.9321633
A. Maxworth, G. Hussey, K. McWilliams, A. Yau, Gordon James
In this work, we present observations from the Radio Receiver Instrument (RRI) on the enhanced Polar Outflow Probe (e-POP, also known as SWARM-E). We have observed whistlers, proton whistlers, hiss and chorus. The observed polarization parameters, were used to determine the proton gyrofrequencies and cross-over frequencies. These parameters were compared against the modeled values from the IGRF model.
{"title":"Whistlers and Related Phenomenon Observed by e-POP-RRI","authors":"A. Maxworth, G. Hussey, K. McWilliams, A. Yau, Gordon James","doi":"10.23919/USNC/URSI49741.2020.9321633","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321633","url":null,"abstract":"In this work, we present observations from the Radio Receiver Instrument (RRI) on the enhanced Polar Outflow Probe (e-POP, also known as SWARM-E). We have observed whistlers, proton whistlers, hiss and chorus. The observed polarization parameters, were used to determine the proton gyrofrequencies and cross-over frequencies. These parameters were compared against the modeled values from the IGRF model.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"35 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":"127478918","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/URSI49741.2020.9321630
Yuanzhi Liu, M. Yagoub, M. Nassor
An omni-directional antenna array with enhanced gain is presented in this paper. Designed in the 5G operating band of 25.92-29.12GHz, the antenna exhibits a simulated average peak gain of 7dBi. It consists of 4 dipoles and a substrate integrated waveguide cavity. The −10dB frequency band of the 1×4 linear array is 25.87-29.24GHz and the peak gain is higher than 12dBi in the operating frequency band.
{"title":"Omni-directional Antenna Array with Improved Gain for 5G Communication Systems","authors":"Yuanzhi Liu, M. Yagoub, M. Nassor","doi":"10.23919/USNC/URSI49741.2020.9321630","DOIUrl":"https://doi.org/10.23919/USNC/URSI49741.2020.9321630","url":null,"abstract":"An omni-directional antenna array with enhanced gain is presented in this paper. Designed in the 5G operating band of 25.92-29.12GHz, the antenna exhibits a simulated average peak gain of 7dBi. It consists of 4 dipoles and a substrate integrated waveguide cavity. The −10dB frequency band of the 1×4 linear array is 25.87-29.24GHz and the peak gain is higher than 12dBi in the operating frequency band.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"59 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":"125526065","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}
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