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WLAN and RFID Propagation channels for hybrid indoor positioning

机译:用于混合室内定位的WLAN和RFID传播通道

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Indoor localization based on Received Signal Strengths (RSS) or on some form of power measurements is a low-cost and low-complexity solution gaining more and more interest in the research and commercial worlds. Typically, Wireless Local Area Network (WLAN) signals are employed for such purpose, due to the fact that they are widely spread in indoor environments. Nevertheless, any wireless signal available in indoor scenarios can be used for positioning based on similar power measurement approaches. One example is the radio frequency identification (RFID), which enable portable localization systems in the form of wearable REID tags. Such RFID-enabled systems are highly demanded for health-state monitoring, object tracking, and security. These applications are mostly indoor applications, and thus, we can envision a near future where multiple RFID and WLAN signals will co-exist on multiple frequency bands. The existing signal diversity can offer a benefit in indoor positioning, providing that the signal propagation effects for both WLAN and RFID are well understood and taken into account. However, measurement-based studies on indoor channel modeling, including path loss and shadowing effects of RFID signals are still missing. A comparison between RFII) and WLAN channel models for positioning purpose has yet to be made. It is the purpose of our paper to address the path-loss channel models and shadowing effects for WLAN and RFID signals based on extensive measurement campaigns in an office environment.
机译:基于接收信号强度(RSS)或某种形式的功率测量的室内定位是一种低成本,低复杂度的解决方案,在研究和商业领域越来越受到关注。通常,由于无线局域网(WLAN)信号在室内环境中广泛传播,因此被用于此目的。然而,基于类似的功率测量方法,室内场景中可用的任何无线信号都可以用于定位。一个示例是射频识别(RFID),它使可穿戴式REID标签形式的便携式定位系统成为可能。对于健康状态监视,对象跟踪和安全性,迫切需要这种启用RFID的系统。这些应用大部分是室内应用,因此,我们可以预见不久的将来,多个RFID和WLAN信号将在多个频带上共存。现有的信号多样性可以为室内定位带来好处,前提是可以很好地理解并考虑到WLAN和RFID的信号传播效果。但是,仍然缺少基于测量的室内通道建模研究,包括路径损耗和RFID信号的阴影效应。 RFII)和WLAN信道模型之间的定位比较尚未完成。本文的目的是基于办公环境中的广泛测量活动来解决WLAN和RFID信号的路径损耗通道模型和阴影效应。

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