The Resonant Noise Reduction Method of Muzzle Shock Wave Based on NOA-VMD
The muzzle shock wave signal generated when a gun is fired possesses a wide spectrum. Limited by the effective working bandwidth of the pressure sensor in the acquisition system,a lot of resonant noise is introduced in the acquisition process. To overcome the influence of resonant noise on muzzle shock wave and ensure the integrity and accuracy of muzzle shock wave characteristics,an algorithm of muzzle shock wave resonant noise reduction based on Nutcracker Optimization Algo-rithm ( NOA) optimized Variational Mode Decomposition ( VMD) is proposed. Firstly,use the minimum envelope entropy as the fitness function of the NOA algorithm to optimize the number of decomposition modes and the penalty factor parameters of VMD. Then,decompose the muzzle shock wave signal by the NOA-VMD algorithm,and calculate each component's resonant energy loss ratio to select the resonant components. Finally,reconstruct the residual signal component to obtain the muzzle shock wave with the resonant component removed. The shock tube experiment is used to verify the NOA-VMD algorithm. The experimental results show that the NOA-VMD algorithm can effectively reduce the resonant noise interference of the muzzle shock wave. The comparative experiment has verified the optimization effect of the NOA algorithm.
muzzle shock waveresonant noisenutcracker optimization algorithmvariational mode decompositionenergy loss ratio
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维普
