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1. 发明授权

US09002286B2 Method and system for identification and mitigation of errors in non-line-of-sight distance estimation 有权
标题翻译：用于识别和减轻非视距距离估计误差的方法和系统
公开(公告)号：US09002286B2
公开(公告)日：2015-04-07
申请号：US12383939
申请日：2009-03-30
申请人： Stefano Maranò , Wesley M. Gifford , Henk A. H. E. Wymeersch , Moe Z. Win
发明人： Stefano Maranò , Wesley M. Gifford , Henk A. H. E. Wymeersch , Moe Z. Win
IPC分类号： H04B17/00
CPC分类号： H04W4/023 , H04B17/24 , H04B17/27 , H04B17/309 , H04B17/373 , H04B17/391
摘要： Ultra-wide bandwidth (UWB) transmission is a promising technology for indoor localization due to its fine delay resolution and obstacle-penetration capabilities. However, the presence of walls and other obstacles present a significant challenge in terms of localization, as they result in positively biased distance estimates. Measurement campaigns with FCC-compliant UWB radios can quantify effects of non-line-of-sight (NLOS) propagation. Features of waveforms measured during a campaign can be extracted for use in distinguishing between NLOS and line-of-sight situations in embodiments of the present invention. Embodiments further include classification and regression methods based on machine learning that improve the localization performance while relying solely on the received signal. Applications for systems employing an example embodiment of the invention include indoor or outdoor search and recovery with high accuracy and low cost.
摘要翻译：超宽带宽（UWB）传输是一种有前途的室内定位技术，由于其精细的延迟分辨率和障碍物穿透能力。然而，墙壁和其他障碍的存在在本地化方面提出了重大挑战，因为它们导致了偏向距离的估计。采用符合FCC标准的UWB无线电的测量活动可以量化非视距（NLOS）传播的影响。在本发明的实施例中，可以提取在运动期间测量的波形的特征以用于区分NLOS和视线状况。实施例还包括基于机器学习的分类和回归方法，其仅依靠接收到的信号来提高定位性能。采用本发明的示例性实施例的系统的应用包括以高精度和低成本的室内或室外搜索和恢复。

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