Detection and Localization of Multiple Humans Based on Curve Length of I/Q Signal Trajectory Using MIMO FMCW Radar

A method to detect people in multiple locations using a multiple-input and multiple-output (MIMO) frequency-modulated continuous wave (FMCW) radar system is proposed. A 2-D range-angle map is estimated by digital beamforming with virtual receiver arrays obtained via the operation of time-division mu...

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Bibliographic Details
Published inIEEE microwave and wireless components letters Vol. 31; no. 4; pp. 413 - 416
Main Authors Han, Kawon, Hong, Songcheol
Format Journal Article
LanguageEnglish
Published IEEE 01.04.2021
Subjects
Beamforming
Clutter
human detection
localization
Microwave theory and techniques
MIMO communication
multiple-input and multiple-output (MIMO) radar
Radar
Trajectory
Wireless communication
Wireless sensor networks
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Summary:A method to detect people in multiple locations using a multiple-input and multiple-output (MIMO) frequency-modulated continuous wave (FMCW) radar system is proposed. A 2-D range-angle map is estimated by digital beamforming with virtual receiver arrays obtained via the operation of time-division multiplexing (TDM) MIMO radar. Phase variations due to human vital signs and movements allow the identification of people from stationary clutter in the range-angle map. To improve the sensitivity of phase-based human detection, a curve-length (CL) method that estimates the length of the I/Q signal trajectory is proposed. The proposed method can overcome the codomain limitation of a conventional method through its use of the standard deviation of phase variations. Measurements show that the method improves the signal-to-clutter ratio (SCR) by 10 dB compared with that when using the conventional approach.
ISSN:1531-1309
1558-1764
DOI:10.1109/LMWC.2021.3057867