On the sparse non-parametric model for body-centric ultra-wideband channel

Xiaodong Yang, Aifeng Ren, Shuyuan Yang, Qammer Hussain Abbasi, Zhiya Zhang, Wei Zhao, Akram Alomainy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Parametric probability models are usually used to characterize the channels for Wireless Body Area Networks (WBANs). However, one should note that only limited samples can be collected in WBANs; on the other hand, channels for this area can be easily affected by many unexpected factors, such as human body postures, individual difference, etc. In this paper, the authors develop a sparse non-parametric model for UWB WBANs, it is demonstrated that when the coefficients are selected properly, the error of the model is smaller than traditional parametric ones.

Original languageEnglish
Title of host publication2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467352253
DOIs
Publication statusPublished - 17 Oct 2014
Event31st General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2014 - Beijing, China
Duration: 16 Aug 201423 Aug 2014

Other

Other31st General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2014
CountryChina
CityBeijing
Period16/8/1423/8/14

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Cite this

Yang, X., Ren, A., Yang, S., Abbasi, Q. H., Zhang, Z., Zhao, W., & Alomainy, A. (2014). On the sparse non-parametric model for body-centric ultra-wideband channel. In 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014 [6929317] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URSIGASS.2014.6929317