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A Multi-Target Localization and Vital Sign Detection Method Using Ultra-Wide Band Radar.

Jingwen Zhang¹, Qingjie Qi¹, Huifeng Cheng¹

¹Emergency Research Institute, Chinese Institute of Coal Science CICS, Beijing 100013, China.

Sensors (Basel, Switzerland)

|July 14, 2023

Summary

This summary is machine-generated.

This study introduces an advanced ultra-wideband (UWB) radar system for detecting multiple survivors in disaster zones. The novel method accurately locates targets and extracts vital signs like breathing and heartbeat, crucial for rescue operations.

Keywords:

cluster analysis ensemble empirical mode decomposition (EEMD)life detection permutation entropy (PE)stochastic resonance (SR)ultra-wideband radar (UWB)vital sign extraction

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Area of Science:

Engineering
Biomedical Engineering
Signal Processing

Background:

Ultra-wideband (UWB) radar offers non-contact life detection for disaster rescue.
Current multi-target detection methods struggle with accuracy and simultaneous vital sign extraction.
There is a need for improved UWB radar techniques for locating survivors and monitoring their health.

Purpose of the Study:

To propose a novel UWB radar method for multi-target localization and vital sign detection.
To enhance accuracy in identifying and locating multiple individuals in complex environments.
To simultaneously extract and analyze breathing and heartbeat information for individual targets.

Main Methods:

Target recognition and localization using permutation entropy (PE) and K-means++ clustering.
Adaptive denoising for vital sign extraction via ensemble empirical mode decomposition (EEMD) and wavelet analysis (WA).
Heartbeat frequency extraction employing particle swarm optimization (PSO) and stochastic resonance (SR).

Main Results:

The PE-K-means++ method achieved an average relative error of 1.83% for multi-target localization.
The EEMD-WA method demonstrated an average relative error of 4.27% for reconstructed respiratory signal frequency.
The PSO-SR method yielded an average relative error of 6.23% for heartbeat frequency detection.

Conclusions:

The proposed UWB radar method effectively recognizes and locates multiple human targets.
Accurate vital signs (breathing and heartbeat) are successfully extracted, providing crucial information for rescue.
This technology offers a theoretical basis and technical support for emergency rescue systems.