An Experimental Study on the Behavior of Received Signal Strength in Indoor Environment

K. Ullah, Igor Vitorio Custodio, Nadir Shah, E. Moreira
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引用次数: 7

Abstract

Due to widespread availability of WiFi networks in buildings, indoor location based systems become a reality. To provide indoor location based services (LBS), finding the current location of a human, a computer, a mobile device or equipment such as a small UAV (like Quad copter) is of great interest. The most prominent method for this purpose is the received signal strength (RSS)-based location from WiFi Access Points (APs) inside a building. Considerable amount of research is carried out in estimating current location and providing different services based on different wireless technologies. On the other hand, little attention has been paid to study and analyze the behavior of the received signal strength itself. It is challenging because the intensity of signal can change very frequently due to environmental features like topology, temperature, interaction with objects etc. In this paper, we study the behavior of WiFi signals in an indoor environment for RSS based localization by analyzing signals from three different access points by using triangulation technique. Our method is based on fingerprinting method. The experimental results reveal that the behavior of signal changes very frequently. The results lead us to the conclusion that understanding signals behavior is important before estimating current location and providing different LBS.
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室内环境下接收信号强度变化特性的实验研究
由于WiFi网络在建筑物中的广泛可用性,基于室内位置的系统成为现实。为了提供基于室内位置的服务(LBS),查找人、计算机、移动设备或小型无人机(如Quad copter)等设备的当前位置是非常有趣的。最重要的方法是根据建筑物内WiFi接入点(ap)的接收信号强度(RSS)定位。在估计当前位置和基于不同无线技术提供不同服务方面进行了大量的研究。另一方面,对接收信号强度本身的变化规律的研究和分析很少受到重视。这是具有挑战性的,因为信号的强度会因环境特征(如拓扑结构、温度、与物体的相互作用等)而频繁变化。本文利用三角测量技术分析了三个不同接入点的信号,研究了室内环境下WiFi信号在RSS定位中的行为。我们的方法是基于指纹识别方法。实验结果表明,信号的行为变化非常频繁。结果使我们得出结论,在估计当前位置和提供不同的LBS之前,理解信号行为是重要的。
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