To solve this problem, a human life parameter detection method based on empirical mode decomposition is proposed. First, the human echo signal is empirically decomposed, and then the intrinsic mode function obtained after decomposition is analyzed in time-frequency mode. The micro-Doppler frequency caused by human body motion can be effectively extracted from the time-frequency diagram. Simulation experiments show the effectiveness of the proposed method when the signal-to-noise ratio is low.
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