TY - GEN
T1 - Phase-demodulation based Human Identification for Vital-SAR-Imaging in Pure FMCW Mode
AU - Zhang, Gepeng
AU - Yan, Jiaming
AU - Chen, Hanqing
AU - Hong, Hong
AU - Zhao, Heng
AU - Gu, Chen
AU - Zhu, Xiaohua
AU - Li, Changzhi
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by the National Natural Science Foundation of China under Grant 61871224 、 81601568, in part by the Key Research and Development Plan of Jiangsu Province under Grant BE2018729, and in part by the Fundamental Research Funds for the Central Universities under Grant 30917011316.
Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61871224
Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Identifying vital-related signals from human targets in a single synthetic aperture radar (SAR) image processing is important but challenging for localization and rescue applications. Recently, hybrid-mode SAR was reported for human identification and localization by alternating a radar in both the interferometry and frequency-modulated continuous-wave (FMCW) modes. However, it increased system complexity and required doubling the scanning efforts. In this paper, a novel phase-demodulation based vital-SAR-imaging method with a portable radar in pure FMCW mode is proposed. The solution can identify human targets from the SAR image by extracting high-resolution breathing signals on a moving platform. Experiments have been con-ducted to demonstrate the accuracy and robustness of the pro-posed method.
AB - Identifying vital-related signals from human targets in a single synthetic aperture radar (SAR) image processing is important but challenging for localization and rescue applications. Recently, hybrid-mode SAR was reported for human identification and localization by alternating a radar in both the interferometry and frequency-modulated continuous-wave (FMCW) modes. However, it increased system complexity and required doubling the scanning efforts. In this paper, a novel phase-demodulation based vital-SAR-imaging method with a portable radar in pure FMCW mode is proposed. The solution can identify human targets from the SAR image by extracting high-resolution breathing signals on a moving platform. Experiments have been con-ducted to demonstrate the accuracy and robustness of the pro-posed method.
KW - FMCW radar
KW - Synthetic aperture radar
KW - human identification
KW - vital signs
UR - http://www.scopus.com/inward/record.url?scp=85069963334&partnerID=8YFLogxK
U2 - 10.1109/mwsym.2019.8700958
DO - 10.1109/mwsym.2019.8700958
M3 - Conference contribution
AN - SCOPUS:85069963334
T3 - IEEE MTT-S International Microwave Symposium Digest
SP - 152
EP - 155
BT - 2019 IEEE MTT-S International Microwave Symposium, IMS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 June 2019 through 7 June 2019
ER -