arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1402.3783cs.ITmath.ITstat.AP
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室内无线定位系统中地图感知模型的实验研究

Map-Aware Models for Indoor Wireless Localization Systems: An Experimental Study

Francesco Montorsi, Fabrizio Pancaldi, Giorgio M. Vitetta

摘要:

室内无线定位系统的准确性可以通过地图感知来显著增强,即,通过对获取定位信号的环境的地图的了解。事实上,可以利用该知识来至少在某种程度上抵消由于通过物理障碍物的传播而引起的信号降级,即,所谓的非视线偏差。这一结果可以通过开发新的定位技术来实现,这些技术依赖于它们处理的测量的适当的地图感知统计建模。在这篇手稿中,一个统一的统计模型,在地图感知定位系统的基础上的到达时间和接收信号强度技术的测量值的开发和实验验证说明。最后,所提出的地图感知模型的准确性进行评估和比较,其地图不知情的同行提供。我们的数值结果表明,当所获得的测量质量较差时,地图感知建模在某些情况下可以将定位精度提高高达110%。

英文摘要:

The accuracy of indoor wireless localization systems can be substantially enhanced by map-awareness, i.e., by the knowledge of the map of the environment in which localization signals are acquired. In fact, this knowledge can be exploited to cancel out, at least to some extent, the signal degradation due to propagation through physical obstructions, i.e., to the so called non-line-of-sight bias. This result can be achieved by developing novel localization techniques that rely on proper map-aware statistical modelling of the measurements they process. In this manuscript a unified statistical model for the measurements acquired in map-aware localization systems based on time-of-arrival and received signal strength techniques is developed and its experimental validation is illustrated. Finally, the accuracy of the proposed map-aware model is assessed and compared with that offered by its map-unaware counterparts. Our numerical results show that, when the quality of acquired measurements is poor, map-aware modelling can enhance localization accuracy by up to 110% in certain scenarios.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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