DocumentCode
484110
Title
Fourier Array Processing for Buried Victims Detection Using Ultra Wide Band Radar with Uncalibrated Sensors
Author
Lidický, Ludvík
Author_Institution
IRCTR, Delft Univ. of Technol., Delft
Volume
2
fYear
2008
fDate
7-11 July 2008
Abstract
The purpose of this paper is to propose a new way to detect victims buried in or under layers of rubble or debris in case of disasters such as earthquakes, fires or terrorist attacks. The method is based on Fourier processing and principal component analysis (PCA). It utilizes a moving array of sensors arranged in the line of motion. It combines the speed and robustness of Fourier-based processing with a capability of space-time adaptive processing (STAP) to detect objects moving at extremely low velocities. The concept is demonstrated on several experiments carried out using an ultra wide band (UWB) ground penetrating radar (GPR). A fast, yet robust and extremely sensitive technique is being tested to achieve detection of the slightest motion (such as breathing) of a subject using uncalibrated sensors.
Keywords
Fourier analysis; buried object detection; disasters; ground penetrating radar; principal component analysis; radar signal processing; remote sensing by radar; space-time adaptive processing; Fourier array processing; buried victims detection; debris; disasters; earthquakes; fires; motion detection; principal component analysis; rubble; space-time adaptive processing; terrorist attack; ultrawide band ground penetrating radar; ultrawide band radar; uncalibrated sensors; Array signal processing; Earthquakes; Fires; Ground penetrating radar; Principal component analysis; Radar detection; Robustness; Sensor arrays; Terrorism; Ultra wideband radar; SAR; STAP MTI; UWB GPR; space-time adaptive processing; synthetic aperture radar; ultra wide band ground penetrating radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779123
Filename
4779123
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