Pub Date : 2019-10-01DOI: 10.1109/wisee.2019.8920316
{"title":"WiSEE 2019 TOC","authors":"","doi":"10.1109/wisee.2019.8920316","DOIUrl":"https://doi.org/10.1109/wisee.2019.8920316","url":null,"abstract":"","PeriodicalId":167663,"journal":{"name":"2019 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133876055","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 : 2019-10-01DOI: 10.1109/wisee.2019.8920371
{"title":"WiSEE 2019 Copyright Page","authors":"","doi":"10.1109/wisee.2019.8920371","DOIUrl":"https://doi.org/10.1109/wisee.2019.8920371","url":null,"abstract":"","PeriodicalId":167663,"journal":{"name":"2019 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115345378","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 : 2019-10-01DOI: 10.1109/WiSEE.2019.8920296
Saliha Buyukcorak, Günes Karabulut-Kurt, A. Yongaçoğlu
The use of aerial platforms, also called unmanned aerial vehicles (UAVs), as flying BSs has risen dramatically in recent years owing to their various benefits and practical applications. The UAVs can provide high reliable wireless communications for ground devices as well as enhance the capacity and the coverage of wireless networks by effectively complementing the conventional terrestrial communication infrastructures. These vehicles, with their adaptive altitude, can enable LoS transmission links for ground devices more probably. Due to their agility and mobility, they can be quickly and efficiently deployed to handle communication and localization needs in several unexpected and temporary scenarios including the natural disaster, traffic congestions, stadiums and concerts. More importantly, the UAVs, through their mentioned abilities, can increase the number of observation points, without the requirement for additional hardware, and hence can achieve localization with a small number of devices. Remarkably, albeit the exciting great potential of UAV based localization, little work has been reported in the available literature. In line with this, in this work, we study a line-of-sight (LoS)/non-LoS (NLoS) mixed signal power model based localization solution relying on least square algorithm for aerial networks. The probabilistic propagation model and its localization performance are investigated through simulations.
{"title":"UAV Assisted Ground User Localization","authors":"Saliha Buyukcorak, Günes Karabulut-Kurt, A. Yongaçoğlu","doi":"10.1109/WiSEE.2019.8920296","DOIUrl":"https://doi.org/10.1109/WiSEE.2019.8920296","url":null,"abstract":"The use of aerial platforms, also called unmanned aerial vehicles (UAVs), as flying BSs has risen dramatically in recent years owing to their various benefits and practical applications. The UAVs can provide high reliable wireless communications for ground devices as well as enhance the capacity and the coverage of wireless networks by effectively complementing the conventional terrestrial communication infrastructures. These vehicles, with their adaptive altitude, can enable LoS transmission links for ground devices more probably. Due to their agility and mobility, they can be quickly and efficiently deployed to handle communication and localization needs in several unexpected and temporary scenarios including the natural disaster, traffic congestions, stadiums and concerts. More importantly, the UAVs, through their mentioned abilities, can increase the number of observation points, without the requirement for additional hardware, and hence can achieve localization with a small number of devices. Remarkably, albeit the exciting great potential of UAV based localization, little work has been reported in the available literature. In line with this, in this work, we study a line-of-sight (LoS)/non-LoS (NLoS) mixed signal power model based localization solution relying on least square algorithm for aerial networks. The probabilistic propagation model and its localization performance are investigated through simulations.","PeriodicalId":167663,"journal":{"name":"2019 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114543206","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 : 2019-10-01DOI: 10.1109/WiSEE.2019.8920375
S. Goh, S. Zekavat
The all-electric aircraft (AEA) is a fully battery powered aircraft that has a low engine noise and carbon dioxide mission level. However, the AEA requires space solar power satellite (SSPS) enabled mid-air recharging technology to allow high payload capacity and long flight duration. In addition, the rectenna size of AEA requires the SSPS to accurately beam the microwave energy to the rectenna. Therefore, high performance AEA localization and tracking (LAT) by SSPS is essential. This paper studies the AEA localization performance via SSPS constellation. We assume the AEA broadcasts its position information via the automatic dependent surveillance-broadcast (ADS-B) channel. In addition, each SSPS located within the field-of-view measures the time-of-arrival (TOA) of the ADS-B signal for fusion purpose. Furthermore, the signal traveling time delay effect and SSPS position error are considered. A Montel Carlo simulation has been conducted to study the AEA localization performance with respect to SSPS altitude and measurement error magnitude. The results show that the SSPS altitude and positioning errors have higher impact on AEA localization accuracy. Also, the results show that the AEA localization via SSPS constellation can meet the target accuracy.
{"title":"All-Electric Aircraft Localization Performance Study via Space Solar Power Satellite Constellation","authors":"S. Goh, S. Zekavat","doi":"10.1109/WiSEE.2019.8920375","DOIUrl":"https://doi.org/10.1109/WiSEE.2019.8920375","url":null,"abstract":"The all-electric aircraft (AEA) is a fully battery powered aircraft that has a low engine noise and carbon dioxide mission level. However, the AEA requires space solar power satellite (SSPS) enabled mid-air recharging technology to allow high payload capacity and long flight duration. In addition, the rectenna size of AEA requires the SSPS to accurately beam the microwave energy to the rectenna. Therefore, high performance AEA localization and tracking (LAT) by SSPS is essential. This paper studies the AEA localization performance via SSPS constellation. We assume the AEA broadcasts its position information via the automatic dependent surveillance-broadcast (ADS-B) channel. In addition, each SSPS located within the field-of-view measures the time-of-arrival (TOA) of the ADS-B signal for fusion purpose. Furthermore, the signal traveling time delay effect and SSPS position error are considered. A Montel Carlo simulation has been conducted to study the AEA localization performance with respect to SSPS altitude and measurement error magnitude. The results show that the SSPS altitude and positioning errors have higher impact on AEA localization accuracy. Also, the results show that the AEA localization via SSPS constellation can meet the target accuracy.","PeriodicalId":167663,"journal":{"name":"2019 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122667524","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 : 2019-10-01DOI: 10.1109/WiSEE.2019.8920347
P. Shankar, Lonnie Labonte, A. Abedi
Wireless sensor networks allow for the deployment of multiple redundant sensors in a feedback control system. However, inherent delays in the sensor networks have the ability to degrade the performance and stability of the closed loop. This paper addresses the stability robustness of a first order system with two delayed sensors. It is shown that the gain margin of the closed loop system can be modified (increased) based on the appropriate choice of feedback gains (weights) for each delayed sensor. Additionally, the maximum range of gains for which the closed loop system is stable is shown to be a function of the maximum possible cross-over frequency for the closed loop system that in turn is dependent on the magnitude of the larger delay.
{"title":"Gain Margin of a First Order System with Two Delayed Sensors","authors":"P. Shankar, Lonnie Labonte, A. Abedi","doi":"10.1109/WiSEE.2019.8920347","DOIUrl":"https://doi.org/10.1109/WiSEE.2019.8920347","url":null,"abstract":"Wireless sensor networks allow for the deployment of multiple redundant sensors in a feedback control system. However, inherent delays in the sensor networks have the ability to degrade the performance and stability of the closed loop. This paper addresses the stability robustness of a first order system with two delayed sensors. It is shown that the gain margin of the closed loop system can be modified (increased) based on the appropriate choice of feedback gains (weights) for each delayed sensor. Additionally, the maximum range of gains for which the closed loop system is stable is shown to be a function of the maximum possible cross-over frequency for the closed loop system that in turn is dependent on the magnitude of the larger delay.","PeriodicalId":167663,"journal":{"name":"2019 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128202055","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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