Study of self-mixing interference signal processing based on time-frequency analysis
Qiao Liu
Abstract
Qiao Liu
Abstract
To overcome the limitation of fringe counting and phase analysis,a new method based on the time-frequency analysis is proposed to process the self-mixing interference signal.The frequency of the self-mixing interference signal is acquired by time-frequency analysis,and this frequency is equal to the Doppler shift,so the velocity of external object is gained easily.The simulation experiments show that the proposed method is very easy,effective,and accurate.
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To overcome the limitation of fringe counting and phase analysis,a new method based on the time-frequency analysis is proposed to process the self-mixing interference signal.The frequency of the self-mixing interference signal is acquired by time-frequency analysis,and this frequency is equal to the Doppler shift,so the velocity of external object is gained easily.The simulation experiments show that the proposed method is very easy,effective,and accurate.
Key concepts: Mixing (physics), Interference (communication), SIGNAL (programming language), Time–frequency analysis, Computer science, Doppler effect, Signal processing, Frequency analysis