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An Exponential-Rayleigh signal strength model for device-free localization and tracking with wireless networks

机译:用于无设备定位和无线网络跟踪的指数瑞利信号强度模型

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We present a new statistic signal strength model, called Exponential-Rayleigh (ER) model, for device-free (DF) target localization and tracking issues in this paper. It is a single target measurement model for radio frequency (RF) based on received signal strength (RSS) measurement in outdoor regions. The model is a non-linear function between RSS measurements and target motion state. It consists of three parts: the large-scale exponential attenuation part, the small-scale Rayleigh enhancement part and the noise. Different from the proposed models, while reserving the large-scale attenuation, we mainly present the small-scale Rayleigh enhancement model in ER model. The Rayleigh part depicts the multi-path caused by single target so as to reduce the multi-path error. In the context of localization and tracking experiment using particle filter, we validate the effectiveness of ER model.
机译:本文提出了一种新的统计信号强度模型,称为指数瑞利(ER)模型,用于无设备(DF)目标定位和跟踪问题。它是基于室外区域中接收信号强度(RSS)测量的射频(RF)的单一目标测量模型。该模型是RSS测量和目标运动状态之间的非线性函数。它由三部分组成:大型指数衰减部分,小型瑞利增强部分和噪声。与提出的模型不同,在保留大规模衰减的同时,我们主要在ER模型中提出了小型Rayleigh增强模型。瑞利部分描述了由单个目标引起的多径,以减少多径误差。在使用粒子滤波器进行定位和跟踪实验的背景下,我们验证了ER模型的有效性。

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