Proceedings of the Satellite Division's International Technical Meeting最新文献_第4页

GNSS Multi-Frequency Combined Direct Position Estimation in the Urban Canyon Environment 城市峡谷环境下GNSS多频组合直接位置估计

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19350

Jihong Huang, Rong Yang, Xingqun Zhan

引用次数: 0

Exploring the Benefits of Deep Learning-Based Sensors Error Estimation for Improved Attitude and Position Accuracy 探索基于深度学习的传感器误差估计对提高姿态和位置精度的好处

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19273

Eslam Mounier, Paulo Ricardo Marques de Araujo, Mohamed Elhabiby, Michael Korenberg, Aboelmagd Noureldin

{"title":"Exploring the Benefits of Deep Learning-Based Sensors Error Estimation for Improved Attitude and Position Accuracy","authors":"Eslam Mounier, Paulo Ricardo Marques de Araujo, Mohamed Elhabiby, Michael Korenberg, Aboelmagd Noureldin","doi":"10.33012/2023.19273","DOIUrl":"https://doi.org/10.33012/2023.19273","url":null,"abstract":"Inertial Navigation System (INS) is a primary component in various integrated navigation systems. However, the performance of INS is hindered due to the numerical integration of the measurements obtained from the Inertial Measurement Unit (IMU), which are contaminated by various sensor errors, especially with Micro-Electro-Mechanical Systems (MEMS) sensors. To address these challenges, we examine the performance of modern Deep Learning (DL) methods for mitigating such errors. Specifically, we propose a Deep Gyroscope Error (DGE) model designed to estimate and compensate for errors in the gyroscope measurements. The DGE model combines the feature extraction capabilities of a Convolutional Neural Network (CNN) with the sequential data modelling strengths of Long Short-Term Memory (LSTM). Instead of relying on high-grade IMU measurements, we distinctively employ an inverse mechanization algorithm that generates artificial IMU measurements from the integrated navigation solution states. This approach provides accurate ground truth data facilitating direct supervised learning. The proposed model was trained and verified using real data from MEMS-IMU on real road test experiments performed on a land vehicle in Kingston, Ontario, Canada. When subjected to evaluation against unseen data, the DGE model demonstrated significant improvements in standalone inertial navigation scenarios, particularly in mitigating attitude drift errors and subsequently improving position estimation. Over a uniform testing interval, the DGE model achieved an average reduction in attitude RMSE by 43.1% and in position RMSE by 25.4%. This emphasizes the efficacy of the proposed method in improving INS performance, particularly when operating in standalone mode.","PeriodicalId":498211,"journal":{"name":"Proceedings of the Satellite Division's International Technical Meeting","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135483790","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

GVIM: GNSS/Visual/IMU/Map Integration Via Sliding Window Factor Graph Optimization in Urban Canyons GVIM:基于滑动窗口因子图优化的城市峡谷GNSS/Visual/IMU/Map集成

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19458

Xiwei Bai, Li-Ta Hsu

{"title":"GVIM: GNSS/Visual/IMU/Map Integration Via Sliding Window Factor Graph Optimization in Urban Canyons","authors":"Xiwei Bai, Li-Ta Hsu","doi":"10.33012/2023.19458","DOIUrl":"https://doi.org/10.33012/2023.19458","url":null,"abstract":"Globally referenced and accurate positioning is of great significance for the realization of fully autonomous systems. The visual and inertial measurement unit (IMU) integrated navigation system (VINS) can provide accurate positioning in a short period but is subject to drift over time. Meanwhile, the performance of the VINS is significantly degraded in urban canyons due to the numerous outlier visual features caused by moving objects and unstable illuminations. The global navigation satellite system (GNSS) can provide reliable and globally referenced positioning in open areas, but it is challenged in urban canyons due to the signal reflections and blockages from tall buildings. To exploit the complementariness of the GNSS and VINS, this paper proposed a sliding window factor graph optimization (FGO) based GNSS/Visual/IMU/Map Integration. First, the window carrier phase (WCP) and the Doppler measurements are explored to constrain the relative motion of the system within consecutive epochs. Second, a novel sliding window (SW) based map matching model is proposed to correct the states using the lightweight OpenStreetMap (OSM). Different from conventional filtering-based map matching, the states within the sliding window of the FGO are associated with the lane information from the OSM which effectively exploited the measurement redundancy arising from the factor graph model. The effectiveness of the proposed method is validated using the challenging dataset collected in the urban canyons of Hong Kong. The results showed that lane-level positioning can be achieved even in dense urban scenarios, with poor satellite visibilities and numerous visual feature outliers.","PeriodicalId":498211,"journal":{"name":"Proceedings of the Satellite Division's International Technical Meeting","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135483914","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

Signal Simulator for Starlink Ku-Band Downlink 星链ku波段下行信号模拟器

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19308

Zacharias M. Komodromos, Wenkai Qin, Todd E. Humphreys

引用次数: 0

A Modified Sparse Bayesian Learning Method for High-Accuracy DOA Estimation with TCN Under Array Imperfection 阵列不完善条件下TCN高精度DOA估计的改进稀疏贝叶斯学习方法

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19396

Yi Jin, Di He, Longwei Tian, Wenxian Yu, Shuang Wei, Fusheng Zhu, Zhuoling Xiao

{"title":"A Modified Sparse Bayesian Learning Method for High-Accuracy DOA Estimation with TCN Under Array Imperfection","authors":"Yi Jin, Di He, Longwei Tian, Wenxian Yu, Shuang Wei, Fusheng Zhu, Zhuoling Xiao","doi":"10.33012/2023.19396","DOIUrl":"https://doi.org/10.33012/2023.19396","url":null,"abstract":"Array imperfection may cause performance degradation to direction-of-arrival (DOA) estimation in practice. Most DOA estimation methods overlook the array imperfection by regarding the array manifold as a piece of precisely prior knowledge. Although previous works suggest some simple calibration processes, limitations of array errors like amplitude and phase deviation (AP) and antenna position perturbation (PP) may still lead to manifold mismatch against high-precision. The application of neural network (NN) methods in DOA estimation has demonstrated improved robustness but is limited in handling complex array errors. In this paper, a Transformer-based calibration network (TCN) is designed to capture global sequence information effectively and generate steering vectors of grid points. Then a framework based on modified root-sparse Bayesian learning (RSBL) is proposed to iterate calibration and estimation steps alternately. Extensive experiments show that the proposed method can achieve better performance in different array imperfections, including AP and PP, than other existing methods. When weak array imperfection exists, the proposed method keeps the average error below 0.5 degrees while MUSIC, OMP, and RSBL reach the highest above 2.7 degrees.","PeriodicalId":498211,"journal":{"name":"Proceedings of the Satellite Division's International Technical Meeting","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135483984","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

GNSS Spoofing Detection and Exclusion by Decomposition of Complex Cross Ambiguity Function (DCCAF) with INS Aiding 基于INS辅助的复杂交叉模糊函数分解的GNSS欺骗检测与排除

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19349

Sahil Ahmed, Samer Khanafseh, Boris Pervan

引用次数: 0

An ARAIM Experimental Test User Receiver. Final Review of Project DARP 一种ARAIM实验测试用户接收机。DARP项目的最终审查

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19434

Mariano Wis, Antonio Fernández

{"title":"An ARAIM Experimental Test User Receiver. Final Review of Project DARP","authors":"Mariano Wis, Antonio Fernández","doi":"10.33012/2023.19434","DOIUrl":"https://doi.org/10.33012/2023.19434","url":null,"abstract":"RAIM capable receivers cover the necessity of having a reliable navigation instrument for aviation applications in areas where the receiver is not supported by SBAS. Given the limitations of GPS L1 RAIM and taking advantage of the new GNSS systems in terms of constellations, frequencies and signals, RAIM concept is evolving into the Advanced RAIM (ARAIM) that intends to cover some operational scenarios that legacy RAIM does not cover (as for example the vertical guided approach LPV-200). This was detailed in Working-Group C (2016). There are still some of main ARAIM concept features that are not yet closed. Because of that, it is an asset to have a prototype test user receiver that can be easily reconfigurable to evaluate these new concepts that are still under discussion. That is the aim of project DARP. This was a project leaded by Deimos Space and funded by EUSPA with the objective of designing, developing, and integrating a prototype of receiver aimed for aviation applications with ARAIM system integrated as it was introduced in Wis, et al (2020). The activities of the project have focused on three important parts: the development of a flexible receiver platform; the analysis, design, integration, and improvement of the receiver ARAIM algorithm; and the design and execution of the validation campaign of the test user receiver. This paper details these three parts. An overview of the receiver design and implementation is performed, focusing on its key features applied to aviation application. The ARAIM algorithm implementation is described, focusing on the changes that were applied with respect to the baseline algorithm. Finally, the validation campaign is explained in more detail, focusing on its design and resources used for the execution of the tests and showing some of its more relevant results of the ARAIM algorithm.","PeriodicalId":498211,"journal":{"name":"Proceedings of the Satellite Division's International Technical Meeting","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135484044","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

Discrete Mathematical Model for GNSS Interference Detection Using ADS-B Quality Parameters 基于ADS-B质量参数的GNSS干扰检测离散数学模型

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19383

Jakub Steiner, Ivan Nagy

{"title":"Discrete Mathematical Model for GNSS Interference Detection Using ADS-B Quality Parameters","authors":"Jakub Steiner, Ivan Nagy","doi":"10.33012/2023.19383","DOIUrl":"https://doi.org/10.33012/2023.19383","url":null,"abstract":"The growing dependence of critical infrastructure on Global Navigation Satellite Systems (GNSS) as an accurate and reliable positioning, navigation and timing (PNT) source gives rise to the importance of GNSS interference detection. Although jamming detection capabilities are present in the current market, predominately in the form of specialised GNSS interference detectors or GNSS receivers add-ons. These provide a limited coverage area and their implementation into critical infrastructure operations is rather slow. Therefore, this paper focuses on the detection of GNSS interference using widespread Automatic Dependent Surveillance-Broadcast (ADS-B) technology. The research builds upon previous work and addresses some of its limitations by developing a discrete mathematical model for GNSS jamming detection based on ADS-B quality parameters. To develop and validate the model, a series of experiments involving GNSS jamming in live-sky environments were conducted. The controlled experiments enabled close monitoring of the aircraft navigation systems allowing for precise determination of the aircraft’s jammed/unjammed status. Approximately 75% of the jamming experiment data was used for model development and tuning, while the remaining 25% was reserved for evaluation. The model evaluation leveraging the confusion matrix showed a positive jamming detection rate of over 99% and a false positive jamming detection rate of under 1%. Additionally, the model was tested on ADS-B data from the Atlantic Ocean where no GNSS jamming is expected. Using this data set the model exhibited an under 1% false positive jamming detection rate.","PeriodicalId":498211,"journal":{"name":"Proceedings of the Satellite Division's International Technical Meeting","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135484103","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

FGI-OSNMA: An Open Source Implementation of Galileo’s Open Service Navigation Message Authentication FGI-OSNMA: Galileo开放服务导航消息认证的开源实现

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19348

Toni Hammarberg, José M. Vallet García, Jarno N. Alanko, M. Zahidul H. Bhuiyan

{"title":"FGI-OSNMA: An Open Source Implementation of Galileo’s Open Service Navigation Message Authentication","authors":"Toni Hammarberg, José M. Vallet García, Jarno N. Alanko, M. Zahidul H. Bhuiyan","doi":"10.33012/2023.19348","DOIUrl":"https://doi.org/10.33012/2023.19348","url":null,"abstract":"The European Global Navigation Satellite System (GNSS) Galileo is launching the Open Service Navigation Message Authentication (OSNMA) to enable navigation message authentication for all users, and therefore increasing the resiliency against spoofing. The Finnish Geospatial Research Institute (FGI) has developed an open source implementation of Galileo’s OSNMA, henceforth known as FGI-OSNMA. FGI-OSNMA is a Python library functioning as a OSNMA computation engine with special emphasis put into its modularity, usability in real time, and integrability as a library in third party applications. In particular, the library is being integrated to the software receiver FGI-GSRx and the GNSS situational awareness service GNSS-Finland. In addition to this, our software package contains useful tools, such as scripts to compute and visualize key performance indicators (KPIs) related to authentication, and a filter to remove unauthenticated messages from RINEX navigation and observables files. This paper presents an overview of the features of FGI-OSNMA, followed by description of the architecture and the rationale behind the design. Finally, the paper concludes by demonstrating practical examples and real-world applications of the library.","PeriodicalId":498211,"journal":{"name":"Proceedings of the Satellite Division's International Technical Meeting","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135484111","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

Identifying Car Key Fobs as a Cause of Interference at GNSS Frequencies 识别汽车钥匙扣作为GNSS频率干扰的原因

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI: 10.33012/2023.19376

Sandeep Jada, John Bowman, Mark Psiaki, Steven Langel, Mathieu Joerger

引用次数: 0