室内环境中的超宽带无源导航

... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies Pub Date : 2011-10-26 DOI:10.1145/2093698.2093873

Stefania Bartoletti, Matteo Guerra, A. Conti

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引用次数: 10

摘要

被动目标的定位和导航在许多重要应用中起着关键作用。单站无线传感器雷达(WSR)网络为无源定位和导航提供了一个有趣的解决方案。在这种情况下，超宽带(UWB)雷达提供了良好的延迟分辨率，在室内等恶劣环境下也能实现高精度定位。提出了一种基于超宽带单站无线传感器的无源导航分析与设计数学框架，该框架依赖于环境传播和以网络实验为特征的到达时间估计。研究了部署超宽带单站WSR网络来推断运动目标物体位置的实例。特别分析了基于粒子滤波的贝叶斯导航实现，说明了迁移率模型在推断目标位置中的作用。

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UWB passive navigation in indoor environments

Localization and navigation of passive target objects play a key role in many important applications. An interesting solution for passive localization and navigation is given by monostatic wireless sensor radar (WSR) networks. In this context, ultrawide band (UWB) radar provide fine delay resolution enabling high accuracy localization also in harsh environments such as indoor. We present a mathematical framework for analysis and design of passive navigation based on UWB monostatic WSRs that relies on environment propagation and time-of-arrival estimation characterized by network experiments. A case study where a UWB monostatic WSR network is deployed to infer the position of moving target objects is considered. In particular, Bayesian navigation based on particle filters implementation is analyzed and the role of mobility model for inferring target position is shown.

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... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies

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