Research on frequency estimation of Doppler current meter echo signal based on optimization WOA-MP algorithm
Due to the complex interference of the marine environment,the ultrasonic echo signal of the Doppler current meter is easily affected by interference and contains multiple frequency components,which makes it difficult to calculate the current velocity information.To tackle the issue of reducing frequency estimation accuracy of the echo signal,a frequency estimation method based on signal matching pursuit is proposed,improving the estimation process's efficiency with a modified whale optimization algorithm.The modified method uses chaotic mapping to enhance the diversity of the initial population,and introduces adaptive weights and nonlinear convergence factors to improve the algorithm's local optimization capability,search speed,and solution accuracy.Subsequently,the improved algorithm was compared with other optimization algorithms in a test,and the results showed that the designed improved algorithm was effective and superior in terms of convergence speed and optimization ability.In addition,by reconstructing the characteristics of Doppler echo signals,the frequency estimation accuracy performance of the MWOA-MP algorithm in noisy environments was tested.Under the condition of an echo signal-to-noise ratio of-10 dB,the MWOA-MP algorithm has a 30%improvement in noise immunity compared to traditional methods.Compared with other intelligent methods that fuse MP with frequency estimation algorithms,the MWOA-MP algorithm has an estimation error within 10 Hz,which meets the frequency measurement accuracy requirements of Doppler current meters.
Doppler current meterfrequency signal estimationwhale optimization algorithmmatching pursuit
NETL
NSTL
万方数据
