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Sensors 2017, 17(1), 43; doi:10.3390/s17010043

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

1
Siemens Healthcare Ltd., Pohang-si 37668, Korea
2
School of Computer Science & Electrical Engineering, Handong Global University, Pohang-si 37554, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Changzhi Li
Received: 4 October 2016 / Revised: 3 December 2016 / Accepted: 22 December 2016 / Published: 27 December 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [5617 KB, uploaded 28 December 2016]   |  

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. View Full-Text
Keywords: ultra-wideband; indirect path; human tracking ultra-wideband; indirect path; human tracking
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lee, M.; Lee, J.-Y. Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment. Sensors 2017, 17, 43.

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