Doppler shift estimation of Doppler velocimeter based on cyclic correlation entropy
Based on the pulse-pair algorithm,the acoustic Doppler velocimeter allows for non-invasive high-resolution velocity measurements.However,in dilute and thick current environments,due to low scattering and multiple scattering,the echo signal usually has a low signal to noise ratio,making Doppler frequency shift estimation difficult.In order to better estimate the Doppler frequency shift of echo signal,the signal processing technology in the circular domain is proposed on the basis of pulse-pair algorithm in this paper,and a maximum circular correlation entropy algorithm is established to estimate the Doppler frequency shift.Based on the hardware structure and basic working principle of the acoustic velocimeter,a coherent scattering echo simulation model and an experimental prototype are established.The pulse-pair algorithm and the maximum circular correlation entropy algorithm are tested by using simulation and experimental data.The results show that compared with the pulse-pair algorithm,the proposed maximum circular correlation entropy algorithm not only has better Doppler frequency shift estimation effects at low signal-to-noise ratios,but also has great potential in instantaneous velocity estimation.
acoustic Doppler velocimeterDoppler frequency estimationpulse-pair algorithmcircular datacircular correlation entropy
万方数据
维普
