FMCW Radar Fall Detection based on ISAR Processing Utilizing the Properties of RCS, Range, and Doppler

被引:0
|
作者
Peng, Zhengyu [1 ]
Munoz-Ferreras, Jose-Maria [2 ]
Gomez-Garcia, Roberto [2 ]
Li, Changzhi [1 ]
机构
[1] Texas Tech Univ, Dept Elect & Comp Engn, Lubbock, TX 79409 USA
[2] Univ Alcala, Dept Signal Theory & Commun, Madrid 28871, Spain
来源
2016 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS) | 2016年
关键词
Doppler; fall detection; FMCW radar; health monitoring; ISAR; RCS;
D O I
暂无
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
Falls are among the leading causes of fatal and non-fatal injuries for seniors. For long-term non-contact detection of falls in home and nursing environments, a coherent frequency-modulated continuous-wave (FMCW) radar sensor is designed and tested. The coherence property of the developed FMCW radar helps to preserve the phase history of the signal detected from human subjects, and can thus obtain Doppler information based on inverse synthetic aperture radar (ISAR) imaging. By analyzing the changes of the radar cross-section (RCS), range, and Doppler on ISAR images during the movement of a subject, falls can be distinguished from normal activities. Experiments have been carried out to demonstrate and analyze the ISAR signature of actual fall incidents, which has been compared with that of an abrupt movement. Preliminary results have confirmed the ability of an FMCW radar to successfully detect fall events using ISAR imaging.
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页数:3
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