title: Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment.
abstract: 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.
authors.affiliation: Siemens Healthcare Ltd., Pohang-si 37668, Korea. lma1230@naver.com.
authors.forename: Moona
authors.initials: M
authors.lastname: Lee
authors.affiliation: School of Computer Science & Electrical Engineering, Handong Global University, Pohang-si 37554, Korea. joonlee@handong.edu.
authors.forename: Joon-Yong
authors.initials: JY
authors.lastname: Lee
keywords: human tracking; indirect path; ultra-wideband