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Towards sparse characterisation of on-body ultra-wideband wireless channels

  • Xiaodong Yang
    ,
  • Aifeng Ren
    ,
  • Zhiya Zhang
    ,
  • Masood Ur Rehman
    ,
  • Qammer Hussain Abbasi
    ,
  • Akram Alomainy
  • Xidian University
    ,
  • Texas A&M University at Qatar
    ,
  • Queen Mary University of London
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

With the aim of reducing cost and power consumption of the receiving terminal, compressive sensing (CS) framework is applied to on-body ultra-wideband (UWB) channel estimation. It is demonstrated in this Letter that the sparse on-body UWB channel impulse response recovered by the CS framework fits the original sparse channel well; thus, on-body channel estimation can be achieved using low-speed sampling devices.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 74-77 (4 pages)

Journal (Volume, Issue Number)

Healthcare Technology Letters (Volume 2, Issue 3)

Publication milestones

  • Published - 01/07/2015

Publication status

Published - 01/07/2015

ISSN

2053-3713

External Publication IDs

  • handle.net: 10547/623080
  • Scopus: 85014277004

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