Random-Noise Denoising and Clutter Elimination of Human Respiration Movements Based on an Improved Time Window Selection Algorithm Using Wavelet Transform

Random-Noise Denoising and Clutter Elimination of Human Respiration Movements Based on an Improved Time Window Selection Algorithm Using Wavelet Transform

This paper considers vital signs (VS) such as respiration movement detection of human subjects using an impulse ultra-wideband (UWB) through-wall radar with an improved sensing algorithm for random-noise de-noising and clutter elimination. One filter is used to improve the signal-to-noise ratio (SNR...

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Bibliographic Details
Main Authors: Farnaz Mahmoudi Shikhsarmast, Tingting Lyu, Xiaolin Liang, Hao Zhang, Thomas Aaron Gulliver
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
vital sign
ultra-wideband impulse radar
wavelet packet decomposition
Online Access:http://www.mdpi.com/1424-8220/19/1/95

Internet

http://www.mdpi.com/1424-8220/19/1/95

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