Clutter-Resistant Vital Sign Detection Using Amplitude-Based Demodulation by EEMD-PCA-Correlation Algorithm for FMCW Radar Systems

Ching Yao Huang, Guan Wei Fang, Huey Ru Chuang, Chin Lung Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

FMCW radar systems enable remote vital sign and range detection but suffer from proximity clutter issues. When a large clutter exists around the target of interest, capture effect occurs and the reflected waveform from clutter would dominate the phase of the baseband signal, destroying the vital sign detection. This paper presents a novel and clutter-resistant demodulation to extract slow-time signal under strong reflected interference signals of a stationary or non-stationary clutter at close range. By applying amplitude-based demodulation, signals of the stationary clutter can be distinguished and excluded. Therefore, vital sign can be clearly determined even under the condition of strong close reflected interferences. Furthermore, extracting heartbeat clearly from FMCW under interference of clutter is relatively difficult using traditional complex signal demodulation algorithms. This paper proposes a novel EEMD-PCA-Correlation algorithm to solve this problem. From the experiment results, the average error of heartbeat with a clutter within 1 cm is 0.537%

Original languageEnglish
Title of host publication2019 49th European Microwave Conference, EuMC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages928-931
Number of pages4
ISBN (Electronic)9782874870552
DOIs
Publication statusPublished - 2019 Oct
Event49th European Microwave Conference, EuMC 2019 - Paris, France
Duration: 2019 Oct 12019 Oct 3

Publication series

Name2019 49th European Microwave Conference, EuMC 2019

Conference

Conference49th European Microwave Conference, EuMC 2019
CountryFrance
CityParis
Period19-10-0119-10-03

Fingerprint

clutter
demodulation
Radar systems
Demodulation
radar
Signal interference
interference
capture effect
time signals
Experiments
proximity
waveforms

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Instrumentation

Cite this

Huang, C. Y., Fang, G. W., Chuang, H. R., & Yang, C. L. (2019). Clutter-Resistant Vital Sign Detection Using Amplitude-Based Demodulation by EEMD-PCA-Correlation Algorithm for FMCW Radar Systems. In 2019 49th European Microwave Conference, EuMC 2019 (pp. 928-931). [8910730] (2019 49th European Microwave Conference, EuMC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/EuMC.2019.8910730
Huang, Ching Yao ; Fang, Guan Wei ; Chuang, Huey Ru ; Yang, Chin Lung. / Clutter-Resistant Vital Sign Detection Using Amplitude-Based Demodulation by EEMD-PCA-Correlation Algorithm for FMCW Radar Systems. 2019 49th European Microwave Conference, EuMC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 928-931 (2019 49th European Microwave Conference, EuMC 2019).
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title = "Clutter-Resistant Vital Sign Detection Using Amplitude-Based Demodulation by EEMD-PCA-Correlation Algorithm for FMCW Radar Systems",
abstract = "FMCW radar systems enable remote vital sign and range detection but suffer from proximity clutter issues. When a large clutter exists around the target of interest, capture effect occurs and the reflected waveform from clutter would dominate the phase of the baseband signal, destroying the vital sign detection. This paper presents a novel and clutter-resistant demodulation to extract slow-time signal under strong reflected interference signals of a stationary or non-stationary clutter at close range. By applying amplitude-based demodulation, signals of the stationary clutter can be distinguished and excluded. Therefore, vital sign can be clearly determined even under the condition of strong close reflected interferences. Furthermore, extracting heartbeat clearly from FMCW under interference of clutter is relatively difficult using traditional complex signal demodulation algorithms. This paper proposes a novel EEMD-PCA-Correlation algorithm to solve this problem. From the experiment results, the average error of heartbeat with a clutter within 1 cm is 0.537{\%}",
author = "Huang, {Ching Yao} and Fang, {Guan Wei} and Chuang, {Huey Ru} and Yang, {Chin Lung}",
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Huang, CY, Fang, GW, Chuang, HR & Yang, CL 2019, Clutter-Resistant Vital Sign Detection Using Amplitude-Based Demodulation by EEMD-PCA-Correlation Algorithm for FMCW Radar Systems. in 2019 49th European Microwave Conference, EuMC 2019., 8910730, 2019 49th European Microwave Conference, EuMC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 928-931, 49th European Microwave Conference, EuMC 2019, Paris, France, 19-10-01. https://doi.org/10.23919/EuMC.2019.8910730

Clutter-Resistant Vital Sign Detection Using Amplitude-Based Demodulation by EEMD-PCA-Correlation Algorithm for FMCW Radar Systems. / Huang, Ching Yao; Fang, Guan Wei; Chuang, Huey Ru; Yang, Chin Lung.

2019 49th European Microwave Conference, EuMC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 928-931 8910730 (2019 49th European Microwave Conference, EuMC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - FMCW radar systems enable remote vital sign and range detection but suffer from proximity clutter issues. When a large clutter exists around the target of interest, capture effect occurs and the reflected waveform from clutter would dominate the phase of the baseband signal, destroying the vital sign detection. This paper presents a novel and clutter-resistant demodulation to extract slow-time signal under strong reflected interference signals of a stationary or non-stationary clutter at close range. By applying amplitude-based demodulation, signals of the stationary clutter can be distinguished and excluded. Therefore, vital sign can be clearly determined even under the condition of strong close reflected interferences. Furthermore, extracting heartbeat clearly from FMCW under interference of clutter is relatively difficult using traditional complex signal demodulation algorithms. This paper proposes a novel EEMD-PCA-Correlation algorithm to solve this problem. From the experiment results, the average error of heartbeat with a clutter within 1 cm is 0.537%

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Huang CY, Fang GW, Chuang HR, Yang CL. Clutter-Resistant Vital Sign Detection Using Amplitude-Based Demodulation by EEMD-PCA-Correlation Algorithm for FMCW Radar Systems. In 2019 49th European Microwave Conference, EuMC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 928-931. 8910730. (2019 49th European Microwave Conference, EuMC 2019). https://doi.org/10.23919/EuMC.2019.8910730