为了减小声多普勒测速的误差，需要对发射信号的波形进行设计。传统的波形设计方法主要以选择法为主，基于对发射信号模糊函数的分析，在几类信号中选出性能最优的波形。区别于波形选择法，以重新设计发射信号波形为目标，提出一种基于遗传算法的优化方法，通过将相位编码序列自相关函数的尖锐程度作为适应度，设计出最优相位编码信号。仿真结果表明，优化后的相位编码信号相比传统的m序列信号减小了约10%的测频误差。为利用智能算法进行声多普勒测速发射信号波形设计提供了新参考与方法。
In order to reduce the error of Doppler velocity measurement, it is necessary to design the waveform of the transmitted signal. Traditional waveform design methods mainly rely on selection methods, where the optimal waveform is chosen from several signal types based on an analysis of the ambiguity function of the transmitted signal. Differing from the waveform selection method, this study proposes an optimization method based on genetic algorithms with the goal of redesigning the transmitted signal waveform. By using the sharpness of the autocorrelation function of the phase-coded sequence as the fitness criterion, the optimal phase-coded signal is designed. The simulation results show that the optimized phase coded signal reduces the frequency measurement error by about 10% compared with the traditional m-sequence signal. This provides a new reference and method for the design of transmitted signal waveforms in acoustic Doppler velocity measurement using intelligent algorithms.
2025,47(12): 123-128 收稿日期：2024-9-20
DOI：10.3404/j.issn.1672-7649.2025.12.022
分类号：TB56
作者简介：温润琦(2000-),男,硕士研究生,研究方向为声自导信号处理技术
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