RSS-Ratio for enhancing performance of RSS-based applications

Wei Cheng, K. Tan, Victor Omwando, Jindan Zhu, P. Mohapatra
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引用次数: 43

Abstract

RSS (Received Signal Strength) has been widely utilized in wireless applications. It is, however, susceptible to environmental unknowns from both temporal and spatial domains. As a result, the fluctuation of RSS may degrade performance of RSS based applications. In this work, we propose a novel RSS processing method at the receiver for three antenna based systems. The output of our approach is `RSS-Ratio', which eliminates the environmental unknowns and thus is a more stable variable compared to RSS itself. To validate the efficacy of the proposed method, we conduct a series of experiments in a range of wireless scenarios, including indoor laptop based measurement, indoor software defined radio - WARP based measurement, and outdoor wireless measurement. In addition, we also give an analysis to the relationship between the location of transmitter and the value of RSS-Ratio, and examine the accuracy of the estimated RSS-Ratio value via both simulations and experiments. All the experimental, analytical, and simulated results demonstrate that RSS-Ratio will be a better replacement for RSS to improve the performance of RSS based applications.
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RSS-Ratio用于增强基于rss的应用程序的性能
RSS(接收信号强度)在无线应用中得到了广泛的应用。然而,它容易受到来自时间和空间领域的未知环境的影响。因此,RSS的波动可能会降低基于RSS的应用程序的性能。在这项工作中,我们提出了一种新的基于三天线系统的接收机RSS处理方法。我们方法的输出是“RSS- ratio”,它消除了环境的未知因素,因此与RSS本身相比,它是一个更稳定的变量。为了验证所提出方法的有效性,我们在一系列无线场景下进行了一系列实验,包括基于室内笔记本电脑的测量,基于室内软件定义无线电- WARP的测量和室外无线测量。此外,我们还分析了发射机位置与RSS-Ratio值之间的关系,并通过仿真和实验检验了估计的RSS-Ratio值的准确性。所有的实验、分析和仿真结果都表明,RSS- ratio将是RSS的更好替代品,以提高基于RSS的应用程序的性能。
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