Recognition of battlefield acoustic target based on morphological multifractal of double changed dimensions

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (24) : 203-208.

ZHANG Kun1,DI Yi1,2,GU Xiaohui1

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Abstract

An acoustic recognition method based on morphological multifractal of double dimensions changed was proposed according to the multifractal characteristics of the battlefield acoustic target.The method defined double dimensions changed distributed function.Regression analysis was used to show that the accuracy of fitting with the function was high and the slope of two points could be used as the fractal dimension.Based on speed and recognition rate, the best scale group was selected.The simulation results show that the algorithm is faster than the traditional method of measurement in morphological multifractal obviously.The multifractal dimension calculated by them was used as the feature input.The support vector machine was used for acoustic target recognition, and also the acoustic target recognition rate is increased by 23.5% compared with the existed method.Therefore, the method proposed in this work can be a better choice for battlefield acoustic target recognition using the nonlinear characteristic of the signal.

Key words

morphology / multifractal / regression analysis / fast algorithm / acoustic recognition

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ZHANG Kun1,DI Yi1,2,GU Xiaohui1. Recognition of battlefield acoustic target based on morphological multifractal of double changed dimensions[J]. Journal of Vibration and Shock, 2019, 38(24): 203-208

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