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公开(公告)号:US20160069676A1
公开(公告)日:2016-03-10
申请号:US14477191
申请日:2014-09-04
申请人: Khalifa University of Science, Technology, and Research , British Telecommunications plc , Emirates Telecommunications Corporation
发明人: Nayef Alsindi , James Aweya , Zdenek Chaloupka
CPC分类号: G01S19/00 , G01S5/0215 , G01S19/22
摘要: This invention relates to methods and devices for bias estimation and correction, particularly for time-of-arrival (TOA) based wireless geolocation systems. Multipath and non-line-of-sight (NLOS) biases can cause distance estimation errors in the range of tens-hundreds of meters and is particularly problematic in urban and indoor environments. The behaviour of the biases dynamically changes depending on the clutter and/or obstructions between the base station and the mobile device. Aspects of the present invention provide practical real-time bias estimation and correction techniques for TOA-based systems and are based on inferring and estimating the biases from dynamic time differential measurements. The techniques can operate in real-time and involve simple calculations.
摘要翻译: 本发明涉及用于偏差估计和校正的方法和装置,特别是用于基于到达时间(TOA)的无线地理定位系统。 多路径和非视距(NLOS)偏差可能导致距离估计误差在数百米范围内,并且在城市和室内环境中尤其成问题。 偏移的动作根据基站和移动设备之间的杂波和/或障碍物动态地变化。 本发明的各方面为基于TOA的系统提供实用的实时偏差估计和校正技术,并且基于从动态时间差分测量推断和估计偏差。 这些技术可以实时操作,并且涉及简单的计算。
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公开(公告)号:US09945953B2
公开(公告)日:2018-04-17
申请号:US14477191
申请日:2014-09-04
申请人: Khalifa University of Science, Technology, and Research , British Telecommunications plc , Emirates Telecommunications Corporation
发明人: Nayef Alsindi , James Aweya , Zdenek Chaloupka
CPC分类号: G01S19/00 , G01S5/0215 , G01S19/22
摘要: This invention relates to methods and devices for bias estimation and correction, particularly for time-of-arrival (TOA) based wireless geolocation systems. Multipath and non-line-of-sight (NLOS) biases can cause distance estimation errors in the range of tens-hundreds of meters and is particularly problematic in urban and indoor environments. The behavior of the biases dynamically changes depending on the clutter and/or obstructions between the base station and the mobile device. Aspects of the present invention provide practical real-time bias estimation and correction techniques for TOA-based systems and are based on inferring and estimating the biases from dynamic time differential measurements. The techniques can operate in real-time and involve simple calculations.
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