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• W3208691206 abstract "In the past decades, continuous Doppler radar sensor-based bio-signal detections have attracted many research interests. A typical example is the Doppler heartbeat detection. While significant progresses have been achieved, reliable, time-domain accurate demodulation of bio-signals in the presence of unavoidable DC offsets remains a technical challenge. Aiming to overcome this difficulty, we propose in this paper a novel demodulation algorithm that does not need to trace and eliminate dynamic DC offsets based on approximating segmented arcs in a quadrature constellation of sampling data to directional chords. Assisted by the principal component analysis, such chords and their directions can be deterministically determined. Simulations and experimental validations showed fully recovery of micron-level pendulum movements and strongly noised human heartbeats, verifying the effectiveness and accuracy of the proposed approach." @default.
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• W3208691206 date "2021-01-01" @default.
• W3208691206 modified "2023-10-17" @default.
• W3208691206 title "Time-Domain Doppler Biomotion Detections Immune to Unavoidable DC Offsets" @default.
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• W3208691206 doi "https://doi.org/10.1109/tim.2021.3125096" @default.
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