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Analysis of the Scalability of UWB Indoor Localization Solutions for High User Densities

机译:高用户密度的UWB室内本地化解决方案的可扩展性分析

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摘要

Radio frequency (RF) technologies are often used to track assets in indoor environments. Among others, ultra-wideband (UWB) has constantly gained interest thanks to its capability to obtain typical errors of 30 cm or lower, making it more accurate than other wireless technologies such as WiFi, which normally can predict the location with several meters accuracy. However, mainly due to technical requirements that are part of the standard, conventional medium access strategies such as clear channel assessment, are not straightforward to implement. Since most scientific papers focus on UWB accuracy improvements of a single user, it is not clear to which extend this limitation and other design choices impact the scalability of UWB indoor positioning systems. We investigated the scalability of indoor localization solutions, to prove that UWB can be used when hundreds of tags are active in the same system. This paper provides mathematical models that calculate the theoretical supported user density for multiple localization approaches, namely Time Difference of Arrival (TDoA) and Two-Way Ranging (TWR) with different MAC protocol combinations, i.e., ALOHA and TDMA. Moreover, this paper applies these formulas to a number of realistic UWB configurations to study the impact of different UWB schemes and settings. When applied to the 802.15.4a compliant Decawave DW1000 chip, the scalability dramatically degrades if the system operates with uncoordinated protocols and two-way communication schemes. In the best case scenario, UWB DW1000 chips can actively support up to 6171 tags in a single domain cell (no handover) with well-selected settings and choices, i.e., when adopting the combination of TDoA (one-way link) and TDMA. As a consequence, UWB can be used to simultaneously localize thousands of nodes in a dense network. However, we also show that the number of supported devices varies greatly depending on the MAC and PHY configuration choices.
机译:射频(RF)技术通常用于跟踪室内环境中的资产。其中,超宽带(UWB)能够获取30 cm或更小的典型误差,因此一直引起人们的关注,它比其他无线技术(例如WiFi)更准确,WiFi通常可以几米的精度来预测位置。但是,主要由于技术要求是该标准的一部分,所以常规的媒体访问策略(例如,清晰的信道评估)并不容易实现。由于大多数科学论文都集中于单个用户的UWB精度改进,因此尚不清楚该限制的扩展范围以及其他设计选择是否会影响UWB室内定位系统的可扩展性。我们研究了室内定位解决方案的可扩展性,以证明当同一系统中有数百个标签处于活动状态时,可以使用UWB。本文提供了数学模型,可为多种本地化方法计算理论上支持的用户密度,即具有不同MAC协议组合(即ALOHA和TDMA)的到达时差(TDoA)和双向测距(TWR)。此外,本文将这些公式应用于许多实际的UWB配置,以研究不同UWB方案和设置的影响。当应用于兼容802.15.4a的Decawave DW1000芯片时,如果系统使用不协调的协议和双向通信方案运行,则可伸缩性将大大降低。在最佳情况下,UWB DW1000芯片可以通过精心选择的设置和选择(即采用TDoA(单向链路)和TDMA的组合)在单个域单元(无切换)中主动支持多达6171个标签。结果,UWB可用于同时定位密集网络中的数千个节点。但是,我们还表明,受支持的设备数量会根据MAC和PHY配置选择而有很大差异。

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