Sense through wall human detection using UWB radar

Sukhvinder Singh; Qilian Liang; Dechang Chen; Li Sheng

doi:10.1186/1687-1499-2011-20

Sense through wall human detection using UWB radar

Sukhvinder Singh^*, Qilian Liang, Dechang Chen, Li Sheng

^*Corresponding author for this work

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

92 Scopus citations

Abstract

In this article, we discuss techniques for sense through wall human detection for different types of walls. We have focused on detection of stationary human target behind wall based on breathing movements. In detecting the breathing motion, a Doppler based method is used. Also a new approach based on short time Fourier transform is discussed and an already proposed clutter reduction technique based on singular value decomposition is applied to different measurements.

Original language	English
Article number	20
Journal	Eurasip Journal on Wireless Communications and Networking
Volume	2011
Issue number	1
DOIs	https://doi.org/10.1186/1687-1499-2011-20
State	Published - 1 Dec 2011
Externally published	Yes

Keywords

Clutter reduction
Discrete Fourier transform
Monostatic
Short time Fourier transform
Singular value decomposition
UWB

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10.1186/1687-1499-2011-20

Cite this

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abstract = "In this article, we discuss techniques for sense through wall human detection for different types of walls. We have focused on detection of stationary human target behind wall based on breathing movements. In detecting the breathing motion, a Doppler based method is used. Also a new approach based on short time Fourier transform is discussed and an already proposed clutter reduction technique based on singular value decomposition is applied to different measurements.",

keywords = "Clutter reduction, Discrete Fourier transform, Monostatic, Short time Fourier transform, Singular value decomposition, UWB",

author = "Sukhvinder Singh and Qilian Liang and Dechang Chen and Li Sheng",

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KW - Singular value decomposition

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Sense through wall human detection using UWB radar

Abstract

Keywords

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