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A testbed for device free indoor localization system

机译:无设备室内定位系统的测试平台

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摘要

Based on wireless sensor networks, device-free indoor localization technique has received much attenuation in the field of indoor localization systems. Due to different indoor environmental parameters, multi-path fading, human presences and different system configurations, the WiFi-based received signal strength indicator (RSSI) values are effected. This paper elaborates on the development of a wireless network test-bed to measure the Received Signal Strength Indicator (RSSI) in different environments, as the first step for the application of fingerprinting-type localization algorithms of wireless LAN devices. This paper shows how the environment for RSSI measurement is built and what network configurations yield the most reliable measurements. In the first phase of building a test-bed, configurations of off-the-shelf-equipment and the corresponding applications are explained. The second phase is to measure the RSSI in different propagation and physical environments. In this phase, different environments that have already been built in the first phase are examined. The signal strength is the only information we get from the APs that is usable for the localization process. An “RF sensor” network can monitor RSS values on links in the network and perform device-free localization, i.e., locating a person or object moving in the area in which the network is deployed. Experimental tests reported here and in past literature are shown to validate the analysis.
机译:基于无线传感器网络,无设备室内定位技术在室内定位系统领域受到了很大的削弱。由于不同的室内环境参数,多径衰落,人的存在和不同的系统配置,因此会影响基于WiFi的接收信号强度指示器(RSSI)值。本文详细介绍了在不同环境中测量接收信号强度指示器(RSSI)的无线网络测试平台的开发,这是应用无线局域网设备的指纹类型定位算法的第一步。本文说明如何构建RSSI测量环境,以及哪种网络配置可产生最可靠的测量。在构建测试平台的第一阶段,将说明现成设备的配置和相应的应用程序。第二阶段是在不同的传播和物理环境中测量RSSI。在此阶段中,将检查在第一阶段中已构建的不同环境。信号强度是我们从AP获得的唯一可用于定位过程的信息。 “ RF传感器”网络可以监视网络中链路上的RSS值,并执行无设备定位,即定位在网络部署区域中移动的人或物体。显示了此处和过去的文献中报告的实验测试以验证分析。

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