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

Xiaodong Yang; Aifeng Ren; Zhiya Zhang; Masood Ur Rehman; Qammer Hussain Abbasi; Akram Alomainy

doi:10.1049/htl.2015.0005

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
University of Bedfordshire
Texas A and M University at Qatar Education City
Queen Mary University of London

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English
Pages (from-to)	74-77
Number of pages	4
Journal	Healthcare Technology Letters
Volume	2
Issue number	3
DOIs	https://doi.org/10.1049/htl.2015.0005
State	Published - 1 Jun 2015
Externally published	Yes

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10.1049/htl.2015.0005

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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.",

author = "Xiaodong Yang and Aifeng Ren and Zhiya Zhang and Rehman, \{Masood Ur\} and Abbasi, \{Qammer Hussain\} and Akram Alomainy",

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AU - Ren, Aifeng

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AU - Rehman, Masood Ur

AU - Abbasi, Qammer Hussain

AU - Alomainy, Akram

PY - 2015/6/1

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N2 - 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.

AB - 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.

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

Abstract

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