2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)最新文献

Hierarchical Model Predictive Control for Obstacle Avoidance in Airborne Radar Based Detect-and-Avoid Systems Operating in a Varying Environment 多变环境下机载雷达探测与避障系统的层次模型预测控制

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926816

Hongru Li, W. Kinsner

引用次数: 0

Implementing a Prototype of a Short-Backfire Antenna Using Additive Manufacturing 利用增材制造技术实现短逆火天线原型

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926776

Yewande Mariam Aragbaiye, Amirbahador Mansoori, C. Shafai, D. Isleifson

引用次数: 1

SDN-based Federated Learning approach for Satellite-IoT Framework to Enhance Data Security and Privacy in Space Communication 基于sdn的卫星-物联网框架联邦学习方法增强空间通信数据安全和隐私

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926943

Ryhan Uddin, Sathish A. P. Kumar

{"title":"SDN-based Federated Learning approach for Satellite-IoT Framework to Enhance Data Security and Privacy in Space Communication","authors":"Ryhan Uddin, Sathish A. P. Kumar","doi":"10.1109/WiSEE49342.2022.9926943","DOIUrl":"https://doi.org/10.1109/WiSEE49342.2022.9926943","url":null,"abstract":"The proliferation of IoT devices and integration of machine learning technologies paved the path towards automation in various sectors guided by Artificial intelligence (AI). It enables multitudes of use cases ranging from mass scale cloud-edge computing based robust communication between smart IoT devices, weather variation detecting low powered remote sensor nodes residing on a harsh terrain, AI-assisted driverless vehicles immaculately cruising through traffic to industrial robots performing sophisticated tasks with precision and finesse. As space colonization is a becoming a myth of the past and venturing towards reality, this AI-based IoT ubiquity will also be a major mart of those space colonies where autonomous infrastructures with be the norm. These IoT integrated networks will also boast a wide area of coverage reaching the furthest of the horizons with low orbit satellite integration. However, the mass deployment of these modern technologies is heavily contingent to the fact that data is safeguarded from malicious intrusions. Therefore, in this paper we have proposed an approach to thwart data breach that can plague satellite-IoT framework with respect to space communication. The framework is based on software defined networking that uses federated learning techniques for distributed systems and employs deferential privacy while sharing data among devices to ensure secured critical data transmission between IoT devices.","PeriodicalId":126584,"journal":{"name":"2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115068270","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: 6

Fault Detection and Correction Using Observation Domain Optimization for GNSS Applications 基于观测域优化的GNSS故障检测与校正

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926799

Fahimul Haque, V. Dehghanian, A. Fapojuwo

{"title":"Fault Detection and Correction Using Observation Domain Optimization for GNSS Applications","authors":"Fahimul Haque, V. Dehghanian, A. Fapojuwo","doi":"10.1109/WiSEE49342.2022.9926799","DOIUrl":"https://doi.org/10.1109/WiSEE49342.2022.9926799","url":null,"abstract":"Global Navigation Satellite System (GNSS) is ubiquitously used and integrated into a variety of applications that require accurate and reliable positioning, navigation, and timing (PNT). The rapid growth in research and development into autonomous and semi-autonomous land and aerial vehicle platforms in recent years has redefined industry standards for accurate and reliable PNT. To ensure the integrity of a PNT solution, effective fault detection and exclusion/correction (FDE/C) is needed. Least-squares residuals (LSR) and solution separation (SS) are two well-known receiver autonomous integrity monitoring (RAIM) methods. LSR is computationally efficient but is not applicable, nor is theoretically correct, in scenarios where multiple faulty observations are present. While SS is effective for detecting and isolating multiple faulty observations at a time, it has high computational complexity, hence not suitable for most real-time applications. Other existing fault classifier methods lack the industry required performance due to either data generalization and/or high computational complexity. A novel scalable multi-fault detection and correction method is presented here. As demonstrated by our analysis and test results based on both simulated and real data, the proposed method outperforms LSR providing a more accurate PNT solution and is 80% more computationally efficient than SS under nominal multi-constellation scenarios with 30 or more satellites used in the position estimation.","PeriodicalId":126584,"journal":{"name":"2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831024","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

An Optically Transparent Meshed Patch Antenna With Enhanced Bandwidth for CubeSat Applications 用于立方体卫星应用的具有增强带宽的光学透明网状贴片天线

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926940

Shirin Ramezanzadehyazdi, C. Shafai, D. Isleifson, L. Shafai, Philip Ferguson

{"title":"An Optically Transparent Meshed Patch Antenna With Enhanced Bandwidth for CubeSat Applications","authors":"Shirin Ramezanzadehyazdi, C. Shafai, D. Isleifson, L. Shafai, Philip Ferguson","doi":"10.1109/WiSEE49342.2022.9926940","DOIUrl":"https://doi.org/10.1109/WiSEE49342.2022.9926940","url":null,"abstract":"In this paper, we propose a new transparent stacked meshed patch antenna resonating at 2.5 GHz that offers wide impedance bandwidth and high efficiency along with light-weight and high integrability with CubeSat solar cells. The bandwidth improvement comes from two meshed square patches that are placed on top of each other and have two close resonance frequencies. The first design consists of two Fused Silica glass substrates with an overall height of 5 mm in which the first layer acts as both antenna's substrate and solar cell cover glass. The antenna demonstrates an impedance bandwidth of 6.1%, peak gain of 6.9 dBi, and efficiency higher than 90%. The results were a motivation for further exploration of the performance of the stacked antenna with a sacrificial polymer material between two patches resulting in a lightweight antenna. The second antenna is lighter by 30% at the expense of lower efficiency. Further weight reduction is applied by partially removing the sacrificial polymer. All the proposed antennas have transparency higher than 90%. Thus, they can be placed directly on top of the solar cells without a significant effect on the solar cell's efficiency.","PeriodicalId":126584,"journal":{"name":"2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124666292","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

Experimental Investigation of the Reflection Characteristics of a Flat Lunar Surface 平坦月球表面反射特性的实验研究

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926770

Feng Lu, Akira Yamaguchi, Kazunori Takeuchi, H. Shinbo

引用次数: 1

High Altitude Platform Station (HAPS)-Aided GNSS for Urban Areas 高空台站(HAPS)辅助城市GNSS

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926812

Hongzhao Zheng, M. Atia, H. Yanikomeroglu

引用次数: 2

Investigation of 5G and 4G V2V Communication Channel Performance Under Severe Weather 恶劣天气下5G和4G V2V通信信道性能研究

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926867

Jian Liu, A. Nazeri, Chunheng Zhao, Esmail M. M. Abuhdima, G. Comert, Chin-Tser Huang, P. Pisu

{"title":"Investigation of 5G and 4G V2V Communication Channel Performance Under Severe Weather","authors":"Jian Liu, A. Nazeri, Chunheng Zhao, Esmail M. M. Abuhdima, G. Comert, Chin-Tser Huang, P. Pisu","doi":"10.1109/WiSEE49342.2022.9926867","DOIUrl":"https://doi.org/10.1109/WiSEE49342.2022.9926867","url":null,"abstract":"As all three major US mobile carriers have launched their own 5G networks and are working hard to expand their coverage nationwide, 5G has come into everyone's daily life. 5G networks use millimeter-wave (mm-Wave) for higher speeds, while 4G long-term evolution (LTE) networks favor lower-band spectrum for better coverage. Vehicle-to-vehicle (V2V) communication enables wireless communication between cars and exchanges their speed, location, and acceleration information. 5G mm-Wave and 4G LTE bands are used in V2V sidelink transmissions. These two wireless channels are affected by different weather conditions, such as rain, snow, dust, and sand. Compared with 4G networks, 5G networks are designed to accommodate the increasing number of devices with higher transfer speed, lower latency, and improved security. However, our study shows that severe weather degrades the 5G performance more significantly than 4G. In this paper, we use NS-3 as a simulator to study the effect of harsh weather of dust or sand on the propagating loss of 5G mm-Wave and 4G LTE signal. We investigate their performance degradation and use a time-series machine learning technique, long short-term memory (LSTM), to predict future signal strength for 5G and 4G. Our simulation results show that LSTM performs good forecasting for signal strength, and we plan to design a system that can dynamically choose the better wireless channel in the future.","PeriodicalId":126584,"journal":{"name":"2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132120465","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

Effects of Regional and Seasonal Power Demand on Scaling Space Solar Power Systems 区域和季节电力需求对空间太阳能发电系统的影响

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926937

R. Madonna, Aarush Kukreja

{"title":"Effects of Regional and Seasonal Power Demand on Scaling Space Solar Power Systems","authors":"R. Madonna, Aarush Kukreja","doi":"10.1109/WiSEE49342.2022.9926937","DOIUrl":"https://doi.org/10.1109/WiSEE49342.2022.9926937","url":null,"abstract":"The impact on the scaling of space solar power systems (SSPS) due to regional variations in climate and seasonal variations in temperature is examined here. We use actual demand data for 2016 for two cities located in two different climate zones within the U.S. and develop SSPS to provide base load supply for each city. The demand data are scaled so that the annual demand for each city is equal. This scaling allows for direct comparison of SSPS scaling, while preserving the shape of the respective demand curves, which are largely driven by temperature, hence local climate. We consider two SSPS architectures - Constant power (e.g., NASA/DoE reference system) and the Caltech Space Solar Power Project architecture. We find the SSPS scaling for both architectures is driven by the peak demand day, which in turn is driven by peak temperatures. This leads to a generalization that an SSPS providing base load supply is tailored to a specific location and may not be easily dispatched to provide base load supply to another location without some risk of either over or under production of energy. We discuss how we compensate for loss of power to the ground during eclipse seasons by slightly increasing the size of the onorbit power station and storing the additional generated energy in short term, utility scale energy storage for use during eclipse periods.","PeriodicalId":126584,"journal":{"name":"2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132297892","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

Acoustically Coupled Passive Wireless Sensor System With Mechanical Resonant Sensor 带机械共振传感器的声耦合无源无线传感器系统

2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) Pub Date : 2022-10-12 DOI: 10.1109/WiSEE49342.2022.9926923

T. Schaechtle, Bibhu Kar, George Fischer, Andrea Gabbrielli, Fabian Höflinger, U. Wallrabe, S. Rupitsch

引用次数: 0