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Cluster Computing

, Volume 22, Supplement 4, pp 9525–9542 | Cite as

Construction and analysis of multi-path propagation model for indoor short range Ultra-wideband signal based on time domain ray tracing method

  • Guolong Shi
  • Yigang HeEmail author
  • Bing LiEmail author
  • Qiwu Luo
  • Chaolong Zhang
Article
  • 325 Downloads

Abstract

The realization of the Internet of Things can not be separated from the wireless sensor network which was the extension of communication and perception. The shortage of spectrum resources will become one of the bottlenecks that hinder the rapid development of Internet of Things. A large number of sensor communication makes the interference problem of wireless channel more and more serious. Therefore, the research of wireless channel characteristics and model was important for development of Internet of Things. In this paper, the time domain multipath propagation characteristics of direct, reflection, diffraction and transmission were introduced, which provided a more accurate basis for the design of indoor short distance Ultra-wideband (UWB) communication model. Considering the practicability of simulation, the multipath propagation characteristics of UWB signals under indoor short distance environment with wooden furniture were studied. Moreover, Aluminium door partitions, glass partitions, and plastic furnitures were also considered during our simulation. Based on the time domain ray tracing method, the UWB signal propagation characteristics such as received power distribution, root mean square delay spread, multipath arrive delay distribution parameters were also discussed under line-of-sight and non-line-of-sight propagation. The analysis results provided deployment basis of UWB signal under the indoor environment, which benefit to research and develop technology for indoor Internet of Things.

Keywords

Internet of Things Ultra-wideband Time domain ray tracing method Multipath propagation Line -of-sight propagation 

Notes

Acknowledgement

This work was supported by the National Natural Science Foundation of China under Grant Nos. 51577046, 51704089, 51777050 and 51607004, the State Key Program of National Natural Science Foundation of China under Grant No. 51637004, the National Key Research and Development Plan “Important Scientific Instruments and Equipment Development” Grant No. 2016YFF0102200, Natural Science Foundation of Anhui Province No. 1508085MF112, Natural Science Foundation of Hunan Province No. 2017JJ2080, Basic Research Service Fee Project of Central University No. JDK16TD01, and Equipment research project in advance Grant No. 41402040301.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Electrical Engineering and AutomationHefei University of TechnologyHefeiPeople’s Republic of China
  2. 2.School of Physics and Electronic EngineeringAnqing Normal UniversityAnqingPeople’s Republic of China

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