[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

基于NOA-VMD的炮口冲击波谐振噪声降噪算法

  • 杨浩越 ,
  • 孟祥瑞 ,
  • 鞠明池 ,
  • 王英志
展开
  • 长春理工大学电子信息工程学院,吉林 长春 130022

杨浩越(1999—),男,硕士研究生,研究方向:特殊信号处理。

收稿日期: 2024-06-29

  网络出版日期: 2024-12-18

基金资助

吉林省科技厅创新中心基金项目(YDZJ202302CXJD043)

The Resonant Noise Reduction Method of Muzzle Shock Wave Based on NOA-VMD

  • YANG Haoyue ,
  • MENG Xiangrui ,
  • JU Mingchi ,
  • WANG Yingzhi
Expand
  • School of Electronic and Information Engineering,Changchun University of Science and Technology, Changchun 130022,Jilin,China

Received date: 2024-06-29

  Online published: 2024-12-18

摘要

火炮发射时产生的炮口冲击波信号频谱范围广,受限于采集系统中压力传感器有效工作带宽导致采集过程引入大量谐振噪声。为了降低谐振噪声对炮口冲击波信号的影响,提出了一种基于星鸦优化算法(NOA)优化变分模态分解(VMD)的炮口冲击波谐振噪声降噪算法。首先以最小包络熵为适应度函数的NOA对VMD的分解模态数与惩罚因子参数进行优化;其次通过NOA-VMD算法对炮口冲击波信号进行分解,计算各分量谐振能量损失比筛选出谐振分量;最后对剩余信号分量进行重构得到去除谐振分量的炮口冲击波。实验结果表明,NOA寻优效果最佳,基于NOA-VMD算法有效降低谐振噪声对炮口冲击波信号的干扰。

本文引用格式

杨浩越 , 孟祥瑞 , 鞠明池 , 王英志 . 基于NOA-VMD的炮口冲击波谐振噪声降噪算法[J]. 弹箭与制导学报, 2024 , 44(4) : 9 -17 . DOI: 10.15892/j.cnki.djzdxb.2024.04.002

Abstract

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 Algorithm (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.

[an error occurred while processing this directive]
[1]
OPREAN L G. Artillery from the perspective of firing effects and ensured capabilities[J]. Scientific Bulletin, 2020, 25(2): 107-113.

[2]
ZHOU X L, HAN T L, LIU H. Research on scheduling strategy for shockwave-field wireless collection nodes[C]// DSCC. Proceedings of the 2nd International Conference on Digital Signal and Computer Communications. New York: IEEE, 2022: 1117-1129.

[3]
ZHANG Y L, HAN T L, LANG B H, et al. Detection and extraction of shockwave signal in noisy environments[J]. Journal of Intelligent & Fuzzy Systems, 2019, 37(4): 4499-4510.

[4]
赖富文, 孔凡胜, 高赫, 等. 基于LXI总线的炮口冲击波分布式测试系统设计[J]. 兵器装备工程学报, 2021, 42(9): 183-188.

LAI F W, KONG F S, GAO H, et al. Design of distributed system for measuring muzzle blast wave based on LXI bus[J]. Journal of Ordnance Equipment Engineering, 2021, 42(9): 183-188.

[5]
高杨, 韩太林, 王磊, 等. 改进型果蝇算法在压力传感器动态补偿的应用[J]. 兵器装备工程学报, 2019, 40(6): 119-124.

GAO Y, HAN T L, WANG L, et al. Application of improved fruit-fly optimization algorithm in dynamic compensation of pressure sensors[J]. Journal of Ordnance and Equipment Engineering, 2019, 40(6): 119-124.

[6]
XU B, HAN T L, LIU H, et al. Dynamic compensation of piezoresistive pressure sensor based on sparse domain[J]. Journal of Sensors, 2020, 2020: 1-8.

[7]
王啸, 韩太林, 张恩奎, 等. 基于烟花算法的压阻式压力传感器动态补偿方法[J]. 兵工学报, 2017, 38(11): 2226-2233.

DOI

WANG X, HAN T L, ZHANG E K, et al. Dynamic compensation of piezoresistive pressure sensors based on fireworks algorithm[J]. Acta Armamentarii, 2017, 38(11): 2226-2233.

DOI

[8]
WANG X, XU B, HAN T L, et al. Sensor dynamic compensation method based on GAN and its application in shock wave measurement[J]. Mechanical Systems and Signal Processing, 2023, 190: 110157.

[9]
DIAO K, YAO Z J, WANG Z Y, et al. Investigation of vibration effect on dynamic calibration of pressure sensors based on shock tube system[J]. Measurement, 2020, 149: 107015.

[10]
李燕杰, 祖静, 杜红棉. 冲击波测试中振动噪声的产生与去噪[J]. 传感器与微系统, 2010, 29(8): 71-73.

LI Y J, ZU J, DU H M. Generation and denoising of the vibration noise during shock wave test[J]. Transducer and Microsystem Technologies, 2010, 29(8): 71-73.

[11]
程皓, 张志杰, 张浩, 等. 改进EMD算法在爆炸冲击波后处理中的应用[J]. 电子测量技术, 2018, 41(23): 78-81.

CHENG H, ZHANG Z J, ZHANG H, et al. Application of improved EMD algorithm in post-processing of shock wave[J]. Electronic Measurement Technology, 2018, 41(23): 78-81.

[12]
张健, 尤文斌, 丁永红, 等. 基于CEEMDAN-PCA的冲击波信号降噪研究[J]. 弹箭与制导学报, 2022, 42(4): 24-28.

ZHANG J, YOU W B, DING Y H, et al. Research on noise reduction of shock wave signal based on CEEMDAN-PCA[J]. Journal of Projectiles, Rocket, Missiles and Guidance, 2022, 42(4): 24-28.

[13]
莫宏毅, 徐振洋, 刘鑫, 等. 基于SSA-VMD的爆破振动信号趋势项去除方法[J]. 振动与冲击, 2023, 42(11): 304-312.

MO H Y, XU Z Y, LIU X, et al. Trend removal method of blasting vibration signal based on SSA-VMD[J]. Journal of Vibration and Shock, 2023, 42(11): 304-312.

[14]
DRAGOMIRETSKIY K, ZOSSO D. Variational mode decomposition[J]. IEEE transactions on signal processing, 2014, 62(3): 531-544.

[15]
FENG G R, WEI H R, QI T Y, et al. A transient electromagnetic signal denoising method based on an improved variational mode decomposition algorithm[J]. Measurement, 2021, 184: 109815.

[16]
ZHOU Y J, CAO H L, GUO T. A hybrid algorithm for noise suppression of MEMS accelerometer based on the improved VMD and TFPF[J]. Micromachines, 2022, 13(6): 891-902.

[17]
CAI L H, HU D, ZHANG C M, et al. Tool vibration feature extraction method based on SSA-VMD and SVM[J]. Arabian Journal for Science and Engineering, 2022, 47(12): 15429-15439.

[18]
BASSET M A, MOHAMED R, JAMEEL M, et al. Nutcracker optimizer: a novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems[J]. Knowledge-based Systems, 2023, 262: 110248.

[19]
LI J M, YAO X F, WANG H, et al. Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis[J]. Mechanical Systems and Signal Processing, 2019, 126: 568-589.

[20]
LI M X, YAN C, LIU W, et al. Fault diagnosis model of rolling bearing based on parameter adaptive AVMD algorithm[J]. Applied Intelligence, 2023, 53(3): 3150-3165.

[21]
YAO Z J, LIU X J, YANG W J, et al. A coarse-to-fine denoising method for dynamic calibration signals of pressure sensor based on adaptive mode decompositions[J]. Measurement, 2020, 163: 107935.

[22]
YI Y M, TIAN G. Feature extraction method of ship radiated noise based on BOA-VMD and slope entropy[J]. Frontiers in Physics, 2022: 1044.

文章导航

/

[an error occurred while processing this directive]