DocumentCode
1501696
Title
Through-Wall Detection of Human Being´s Movement by UWB Radar
Author
Jing Li ; Zhaofa Zeng ; Jiguang Sun ; Fengshan Liu
Author_Institution
Coll. of Geo-Exploration Sci. & Technol, Jilin Univ., Changchun, China
Volume
9
Issue
6
fYear
2012
Firstpage
1079
Lastpage
1083
Abstract
Ultrawideband (UWB) radar technology has emerged as one of the preferred choices for through-wall detection due to its high range resolution and good penetration. The resolution is a result of high bandwidth of UWB radar and helpful for better separation of multiple targets in complex environment. Detection of human targets through a wall is interesting in many applications. One significant characteristic of human is the periodic motion, such as breathing and limb movement. In this letter, we apply the UWB radar system in through-wall human detection and present the methods based on fast Fourier transform and S transform to detect and identify the human´s life characteristic. In particular, we can extract the center frequencies of life signals and locate the position of human targets from experimental data with high accuracy. Compared with other research studies in through-wall detection, this letter is concentrated in the processing and identifying of the life signal under strong clutter. It has a high signal-to-noise ratio and simpler to implement in complex environment detection. We can use the method to search and locate the survivor trapped under the building debris during earthquake, explosion, or fire.
Keywords
object detection; radar detection; search radar; ultra wideband radar; S transform; UWB radar; fast Fourier transform; human being movement; human life characteristic; human target position; life signal center frequency; multiple targets; periodic motion; through wall detection; ultrawideband radar technology; Earthquakes; Humans; Radar imaging; Signal to noise ratio; Transforms; Ultra wideband radar; $S$ transform (ST); Fast Fourier transform (FFT); periodic motion; through-wall detection; ultrawideband (UWB) radar;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2012.2190707
Filename
6189030
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