Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment

被引：4

作者：

Lee, Moona ^{[1
]}

Lee, Joon-Yong ^{[2
]}

机构：

[1] Siemens Healthcare Ltd, Pohang Si 37668, South Korea

[2] Handong Global Univ, Sch Comp Sci & Elect Engn, Pohang Si 37554, South Korea

来源：

SENSORS | 2017年 / 17卷 / 01期

基金：

新加坡国家研究基金会;

关键词：

ultra-wideband; indirect path; human tracking;

D O I：

10.3390/s17010043

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

In this paper, we present a statistical model of an indirect path generated in an ultra-wideband (UWB) human tracking scenario. When performing moving target detection, an indirect path signal can generate ghost targets that may cause a false alarm. For this purpose, we performed radar measurements in an indoor environment and established a statistical model of an indirect path based on the measurement data. The proposed model takes the form of a modified Saleh-Valenzuela model, which is used in a UWB channel model. An application example of the proposed model for mitigating false alarms is also presented.

引用

页数：16

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