An automatic detection algorithm for multi-target modulation spectrum shaft frequency under low signal-to-noise ratio

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (24) : 19-26.

MA Kai，CHEN Zhe，WANG Yichuan，CHENG Yusheng

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Abstract

Aiming at the problem of difficult detection of multi-target modulation spectrum shaft frequency in underwater acoustic target radiated noise under the condition of low signal-to-noise ratio, a multi-target modulation spectrum shaft frequency detection algorithm combining ant colony algorithm and harmonic library matching algorithm was proposed. The algorithm used the sorting truncation method to eliminate the trend items in the modulation spectrum, and proposed a line spectrum extraction algorithm based on the ant colony algorithm to extract the line spectrum in the modulation spectrum under low signal-to-noise ratio. The algorithm established a new cost function based on the characteristics of the line spectrum to replace the optimization criterion of distance in the traditional ant colony algorithm, which could realize the automatic extraction of the line spectrum with low signal-to-noise ratio. Finally, a harmonic library was established according to the proposed line spectrum, and the shaft frequency was automatically extracted by matching with the harmonic library. Simulation and sea trial data verification show that the algorithm can successfully extract line spectra under low signal-to-noise ratio, and automatically extract the shaft frequency of multiple targets, with satisfied results。
Key words: low signal-to-noise ratio; line spectrum extraction; shaft frequency detection; multiple targets; modulation spectrum

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low signal-to-noise ratio / line spectrum extraction / shaft frequency detection / multiple targets / modulation spectrum

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MA Kai，CHEN Zhe，WANG Yichuan，CHENG Yusheng. An automatic detection algorithm for multi-target modulation spectrum shaft frequency under low signal-to-noise ratio[J]. Journal of Vibration and Shock, 2022, 41(24): 19-26

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