DocumentCode :
1607508
Title :
An algorithm for UWB radar-based human detection
Author :
Chang, SangHyun ; Mitsumoto, Naoki ; Burdick, Joel W.
Author_Institution :
Eng. & Appl. Sci., California Inst. of Technol., Pasadena, CA
fYear :
2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents an algorithm for human presence detection in urban environments using an ultra-wide-band (UWB) impulse-based mono-static radar. A specular multi-path model (SMPM) is used to characterize human body scattered UWB waveforms. The SMPM parameters are used within a classical likelihood ratio detector framework to detect the presence of humans via gait, with the aid of a multi-target tracking technique (MTT). Experimental results on a simple human gait detection problem in an outdoor urban environment are presented to illustrate and validate the approach.
Keywords :
maximum likelihood detection; radar detection; radar tracking; target tracking; ultra wideband radar; UWB radar-based human detection; human presence detection; multi-target tracking technique; specular multi-path model; ultra wideband impulse-based mono-static radar; urban environments; Biological system modeling; Electromagnetic scattering; Humans; Legged locomotion; Object detection; Radar detection; Radar scattering; Radar tracking; Ultra wideband radar; Vehicle safety; UWB radar; human detection; impulse radar; multi-target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2009 IEEE
Conference_Location :
Pasadena, CA
ISSN :
1097-5659
Print_ISBN :
978-1-4244-2870-0
Electronic_ISBN :
1097-5659
Type :
conf
DOI :
10.1109/RADAR.2009.4976999
Filename :
4976999
Link To Document :
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