Collaborative Research: EAGER: Novel Theoretical Foundation for Wireless Positioning in Challenging Environments
合作研究:EAGER:挑战环境中无线定位的新颖理论基础
基本信息
- 批准号:0943479
- 负责人:
- 金额:$ 7.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-01 至 2012-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Positioning techniques for mobile devices play critical roles in many societal, industrial, and military activities. In current Global Positioning System (GPS), the triangulation and/or trilateration calculation approach dominates, where a system of four or more quadratic equations must be solved, obtained from four or more satellite signals. However, this system does not work in challenging environments such as downtown areas where satellite signals are blocked by skyscrapers. This work is to develop, analyze and evaluate computational methods that can improve the current GPS in terms of positioning accuracy and time efficiency. The proposed linearization approach in this project is unique in that it provides a closed form solution for quadratic equations in the calculation unit of GPS. The sensitivity analysis is derived to identify positioning error sources. The performance of GPS can then be significantly improved. Additionally, since the vulnerabilities in the positioning procedure are identified, this work is also a useful tool for solving security/privacy related issues. This work is applicable to other wireless environments and can be incorporated with other wireless techniques, such as WiFi and wireless sensor networks (WSNs). Preliminary simulation results show that the performance of the proposed calculation method increases by 30% in terms of accuracy and 50% in terms of execution time complexity. The fundamental framework and robust positioning techniques developed from this project will have broad impacts on high-tech industries. The transformative research will lead to the development and deployment of a new generation of practical positioning systems that can work effectively and efficiently in various challenging environments. The impact of this project also extends to academia and education through publications and dedicated websites.
用于移动的设备的定位技术在许多社会、工业和军事活动中起着关键作用。在当前的全球定位系统(GPS)中,三角测量和/或三边测量计算方法占主导地位,其中必须求解从四个或更多个卫星信号获得的四个或更多个二次方程的系统。然而,该系统在具有挑战性的环境中无法工作,例如卫星信号被摩天大楼阻挡的市中心地区。这项工作是开发、分析和评估计算方法,以提高当前全球定位系统的定位精度和时间效率。本项目中提出的线性化方法是独特的,因为它为GPS计算单元中的二次方程提供了封闭形式的解。推导了灵敏度分析,以识别定位误差源。这样,GPS的性能就可以得到显著提高。此外,由于定位过程中的漏洞被识别,这项工作也是解决安全/隐私相关问题的有用工具。这项工作适用于其他无线环境,并可以与其他无线技术,如WiFi和无线传感器网络(WSNs)。初步仿真结果表明,所提出的计算方法的性能提高了30%的准确性和50%的执行时间复杂度。该项目开发的基本框架和强大的定位技术将对高科技产业产生广泛的影响。变革性的研究将导致新一代实用定位系统的开发和部署,这些系统可以在各种具有挑战性的环境中有效地工作。该项目的影响还通过出版物和专门网站扩展到学术界和教育界。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Xinwen Fu其他文献
A Framework for Detecting and Countering Android UI Attacks via Inspection of IPC Traffic
通过检查 IPC 流量来检测和反击 Android UI 攻击的框架
- DOI:
10.1109/icc.2018.8422187 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Joshua Kraunelis;Xinwen Fu;Wei Yu;Wei Zhao - 通讯作者:
Wei Zhao
On Security of Proof-of-Policy (PoP) in the Execute-Order-Validate Blockchain Paradigm
执行-订单-验证区块链范式中策略证明(PoP)的安全性
- DOI:
10.1109/cns56114.2022.9947249 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Shan Wang;Ming Yang;Bryan Pearson;Tingjian Ge;Xinwen Fu;Wei Zhao - 通讯作者:
Wei Zhao
TorWard: Discovery, Blocking, and Traceback of Malicious Traffic Over Tor
TorWard:发现、阻止和追溯 Tor 上的恶意流量
- DOI:
10.1109/tifs.2015.2465934 - 发表时间:
2015 - 期刊:
- 影响因子:6.8
- 作者:
Junzhou Luo;Kui Wu;Wei Yu;Xinwen Fu;Zhen Ling - 通讯作者:
Zhen Ling
International Journal of Grid and High Performance Computing
国际网格与高性能计算杂志
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Huaming Wu;Qiushi Wang;K. Wolter;Luis Assuncao;Kahina Bessai;Claude Godart;Martin Henze;Roman Matzutt;Klaus Wehrle;Swathi Kurunji;Xinwen Fu;Cindy X. Chen - 通讯作者:
Cindy X. Chen
Customizable, scalable and reliable community-based mobile health interventions
可定制、可扩展且可靠的基于社区的移动健康干预措施
- DOI:
10.1145/2633651.2633659 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Bhanu Kaushik;M. Brunette;Xinwen Fu;Benyuan Liu - 通讯作者:
Benyuan Liu
Xinwen Fu的其他文献
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{{ truncateString('Xinwen Fu', 18)}}的其他基金
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0942113 - 财政年份:2010
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$ 7.5万 - 项目类别:
Standard Grant
Collaborative Research: WN: Proper Location Identification in Wireless Networks
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0907964 - 财政年份:2008
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