Abstract
Mechanical micro-vibration of a target may induce phase modulations on the radar echo, and the vibration can be detected to identify micro-motion target. In this paper, a new method to detect a micro-motion target and obtain its range and micro-motion frequency is proposed in which multiple periods stepped-frequency continuous-wave signal and Moving Target Indication (MTI) filter are adopted. The simulation results illustrate the validity of this method and present the detection of the target range and the vibration frequency. The experiment gives promising results.
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V. C. Chen, F. Li, S.-S. Ho, et al.. Analysis of micro-Doppler signatures. IEE Proceedings-Radar Sonar and Navigation, 150(2003)4, 271–276.
V. C. Chen, F. Li, S.-S. Ho, et al.. Micro-Doppler effect in radar: phenomenon, model, and simulation study. IEEE Transactions on Aerospace and Electronic Systems, 42(2006)1, 2–21.
Y. Yang, J. Lei, W. Zhang, et al.. Target classification and pattern recognition using micro-Doppler radar signatures. Proceedings-Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, Las Vegas, NV, United States, June 19–20, 2006, 213–217.
S. L. Marple Jr.. Sharpening and bandwidth extrapolation techniques for radar micro-Doppler feature extraction. 2003 Proceedings of the International Conference on Radar, Adelaide, Australia, September 3–5, 2003, 166–170.
G. Greneker, J. Geisheimer, and D. Asbell. Extraction of micro-Doppler from vehicle targets at X-band frequencies. Proceedings of SPIE — The International Society for Optical Engineering, Orlando, FL, April 19, 2001, Vol. 4374, 1–9.
K. Higashikaturagi, Y. Nakahata, I. Matsunami, et al.. Non-invasive respiration monitoring sensor using UWB-I. Proceedings of the 2008 IEEE International Conference on Ultra-Wideband, Hannover, Germany, September 10–12, 2008, Vol. 1, 101–104.
D. Zito, D. Pepe, B. Neri, et al.. Wearable system-on-a-chip UWB radar for health care and its application to the safety improvement of emergency operators. Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France, August 23–26, 2007, 2651–2654.
M. Pieraccini, G. Luzi, D. Dei, et al.. Detection of breathing and heartbeat through snow using a microwave transceiver. IEEE Geoscience and Remote Sensing Letters, 5(2008)1, 57–59.
I. Immoreev and S. Ivashov. Remote monitoring of human cardiorespiratory system parameters by radar and its applications. Ultrawideband and Ultrashort Impulse Signals, Sevastopol, Ukraine, September 15–19, 2008, 34–38.
Q. Zhang, T. S. Yeo, H. S. Tan, et al.. Imaging of a moving target with rotating parts based on the hough transform. IEEE Transactions on Geoscience and Remote Sensing, 46(2008)1, 291–299.
L. Kong, T. Su, G. Cui, et al.. Life detection algorithm for stepped-frequency CW radar. IET International Radar Conference 2009, Guilin, China, April 20–22, 2009. DOI:10.1049/cp.2009.0092.
A. S. Bugaev, V. V. Chapursky, S. I. Ivashov, et al.. Though wall sensing of human breathing and heart beating by monochronmatic Radar. Tenth International Conference on Ground Penetrating Radar, Delft, The Netherlands, June 21–24, 2004, 291–294.
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Communication author: Kong Lingjiang, born in 1974, male, Ph.D., Associate Professor.
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Kong, L., Zhou, Y., Cui, G. et al. Micro-motion target sensing by stepped-frequency continuous-wave radar. J. Electron.(China) 26, 782–787 (2009). https://doi.org/10.1007/s11767-009-0055-x
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DOI: https://doi.org/10.1007/s11767-009-0055-x