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
收藏
页数：16
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