144 / 2019-12-15 08:40:00
A Novel Vital-Signs Signal Enhancement Method in a 77 GHz LFMCW Radar System with Multiple Receiver Antennas
Non-contact vital signs detection; LFMCW radar; random body movement; multi-channel Kalman smoother
Draft Rejected
Zengyang Mei / Southeast University, China
Qisong Wu / Southeast University, China
Zhichao Lai / Southeast University, China
Dixian Zhao / Southeast University, China
The measurement accuracy in non-contact vital
signs detection can be drastically affected by strong interferences,
such as multiple targets in continuous wave radar system and
random body movements (RBMs). In this paper, a 77GHz linear-
frequency-modulated continuous-wave (LFMCW) radar system
with multiple receiver channels is firstly investigated to migrate
the interferences from multiple targets, and then a multi-channel
Kalman smoother (MCKS) is proposed to alleviate the effect of
RBMs and acquire an enhanced outlier-robust phase history of
vital signs for the subsequent accurate estimates of the respiration
rate (RR) and heart rate (HR). Simulations demonstrate that the
local SNRs around the RR and HR of the results obtained by
MCKS are 9dB and 1dB higher than those obtained by multi-
channel average (MCA), respectively, and the detection error
rates are less than 10% for RR and less than 6% for HR in multi-
target detection with RBMs environment in the real experiments.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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