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Doppler Radar Vital Signs Detection Method Based on Higher Order Cyclostationary
Zhibin Yu1, Duo Zhao2, Zhiqiang Zhang3
1School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China. zbinyu@126.com.
Sensors (Basel, Switzerland)
|December 27, 2017
Summary
This study introduces a new third-order cyclic cumulant (TOCC) method for non-contact vital sign detection using Doppler radar. The TOCC approach improves heart and respiration rate estimation accuracy, even with interference.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Radar Systems
Background:
- Non-contact vital sign detection using Doppler radar is gaining interest.
- Challenges include electromagnetic interference, clutter, and random motion.
Purpose of the Study:
- To propose a novel detection method for accurate heart and respiration rate estimation.
- To address limitations of existing methods in noisy environments.
Main Methods:
- Analysis of k-th order cyclostationary properties of radar signals.
- Development and application of third-order cyclostationary detection theory.
- Utilizing continuous wave Doppler radar.
Main Results:
- The proposed third-order cyclic cumulant (TOCC) method demonstrates robustness.
- Improved estimation accuracy for vital signs was observed.
- Effective performance under low SNR, strong clutter, and motion interference.
Conclusions:
- The third-order cyclostationary approach offers superior vital sign detection accuracy.
- This method is suitable for real-world scenarios with significant interference.
- TOCC provides a promising solution for non-contact physiological monitoring.
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