UWB passive navigation in indoor environments
UWB passive navigation in indoor environments
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DOI：
10.1145/2093698.2093873
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发表时间：
2011-10
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影响因子：
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通讯作者：
Stefania Bartoletti;Matteo Guerra;A. Conti
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文献类型：
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作者：
Stefania Bartoletti;Matteo Guerra;A. Conti
被动目标目标的定位和导航在许多重要应用中扮演着重要的角色。单站无线传感器雷达(WSR)网络为被动定位和导航提供了一种有趣的解决方案。在这种背景下，超宽带(UWB)雷达提供了精细的延迟分辨率，使得在室内等恶劣环境中也能够实现高精度定位。提出了一种基于UWB单站WSR的被动导航分析与设计的数学框架，该框架依赖于环境传播和到达时间估计，并以网络实验为特征。给出了一个应用超宽带单站WSR网络来推断运动目标位置的实例。重点分析了基于粒子滤波的贝叶斯导航实现，展示了运动模型在推断目标位置中的作用。
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.