Radar micro-Doppler signatures of various human activities

被引:64
作者
Narayanan, Ram M. [1 ]
Zenaldin, Matthew [1 ]
机构
[1] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA
关键词
Doppler radar; radar detection; radar micro-Doppler signatures; MDS signatures; C-band coherent radar; phenomenological characteristics; target detection; target classifiers; stationary category; forward-moving category; multitarget category; frequency; 6; 5; GHz; CLASSIFICATION; ENVIRONMENTS; MOTIONS;
D O I
10.1049/iet-rsn.2015.0173
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study presents the results of the authors' experimental investigation into the radar micro-Doppler signatures (MDS) of various human activities both in free-space and through-wall environments. The collection of MDS signatures was divided into three categories: stationary, forward-moving, and multi-target. Each category of MDS signatures encompassed a variety of movements associated with it, adding up to a total of 18 human movements. Using a 6.5-GHz C-band coherent radar, the MDS of six human subjects were gathered in free-space and through-wall environments. The MDS for these cases were analysed in detail and the general properties of the signatures were related to their associated phenomenological characteristics. Based upon the MDS, features for designing detectors and classifiers of human targets performing such movements are recommended. In the case of multiple human targets in the radar field of view, it was found that it is possible to distinguish these targets from the MDS under certain circumstances, but not under others.
引用
收藏
页码:1205 / 1215
页数:11
相关论文
共 16 条
[1]  
[Anonymous], 2008, THESIS
[2]   Doppler signatures of radar backscattering from objects with micro-motions [J].
Chen, V. C. .
IET SIGNAL PROCESSING, 2008, 2 (03) :291-300
[3]  
Chen V. C., 2014, Radar - Micro Doppler Signatures: Processing and Applications
[4]  
Chen VC, 2011, ARTECH HSE RADAR LIB, P1
[5]   Analysis of micro-Doppler signatures [J].
Chen, VC ;
Li, F ;
Ho, SS ;
Wechsler, H .
IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 2003, 150 (04) :271-276
[6]   Classification of human motions using empirical mode decomposition of human micro-Doppler signatures [J].
Fairchild, Dustin P. ;
Narayanan, Ram M. .
IET RADAR SONAR AND NAVIGATION, 2014, 8 (05) :425-434
[7]   Analysis of Moving Human Micro-Doppler Signature in Forest Environments [J].
Garcia-Rubia, Jose M. ;
Kilic, Ozlem ;
Vinh Dang ;
Quang Nguyen ;
Nghia Tran .
PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2014, 148 :1-14
[8]   Human Detection Using Doppler Radar Based on Physical Characteristics of Targets [J].
Kim, Youngwook ;
Ha, Sungjae ;
Kwon, Jihoon .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (02) :289-293
[9]   Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine [J].
Kim, Youngwook ;
Ling, Hao .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (05) :1328-1337
[10]   Through-Wall Detection of Human Being's Movement by UWB Radar [J].
Li, Jing ;
Zeng, Zhaofa ;
Sun, Jiguang ;
Liu, Fengshan .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 9 (06) :1079-1083