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Cyclostationary-Based Vital Signs Detection Using Microwave Radar at 2.5 GHz
Fatima Sekak1,2,3, Kawtar Zerhouni2, Fouzia Elbahhar2
1CNRS, UMR 8520-IEMN groupe CSAM (Systems Circuits Microwave Applications), University of Lille, F-59000 Lille, France.
Sensors (Basel, Switzerland)
|June 21, 2020
Summary
This study enhances non-contact vital sign detection using cyclostationary analysis for radar signals. It evaluates noise and distance impacts, improving respiratory and cardiac rate estimation accuracy.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Radar Technology
Background:
- Non-contact vital sign monitoring is crucial for surveillance.
- Continuous wave bio-radar offers non-invasive physiological parameter estimation.
- Traditional Fourier analysis struggles with noise and body movement in radar signals.
Purpose of the Study:
- To evaluate the impact of distance and noise on cyclostationary features of radar signals.
- To improve non-invasive measurement of respiratory rate and heart rate.
- To assess the performance of second-order cyclostationary signal processing for vital signs.
Main Methods:
- Cyclostationary analysis applied to RF-reflected signals.
- Development of cyclic mean, conjugate cyclic autocorrelation, and cyclic cumulant.
- Analysis using a reduced number of samples for faster response times.
- Implementation using a bi-static radar configuration at 2.5 GHz.
Main Results:
- Cyclostationary analysis demonstrates improved radar performance for vital sign detection.
- The study quantifies the effects of distance and noise on signal features.
- Second-order cyclostationary techniques show effectiveness in extracting physiological information.
- Reduced sample analysis maintains accuracy while decreasing response time.
Conclusions:
- Cyclostationary signal processing is a robust method for non-contact vital sign monitoring.
- The proposed approach enhances accuracy and reduces response time in radar-based systems.
- This technique holds promise for advanced surveillance and healthcare applications.
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