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Sensors 2017, 17(1), 43;

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

Siemens Healthcare Ltd., Pohang-si 37668, Korea
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)
Full-Text   |   PDF [5617 KB, uploaded 28 December 2016]   |  


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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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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