基于微多普勒的膛内弹丸姿态测试方法研究
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摘要
为得到弹丸在膛内运动的摆动情况,该文提出一种通过微波干涉仪获取弹丸在膛内的微运动姿态相关信息的测试方法。首先建立线膛炮内弹丸微运动产生的多普勒模型,在模型的基础上利用短时傅里叶变换获取弹丸在膛内纵向运动的变换规律,再利用Hilbert-Huang变换获得详细的微多普勒信息,最后应用小波变换得到弹丸在膛内摆动的幅度和频率。研究表明:通过结合3种时频变换方法,能定量得到弹丸在膛内的摆动特征,且摆动频率误差在1 kHz范围以内;与不同组的实验数据对比,可以判断火炮身管内的不平衡程度。
In order to obtain the swing of the projectile moving in the orbit, this paper proposes a test method for obtaining micro-motion attitude related information of the projectile in the orbit through a microwave interferometer. Firstly, the Doppler model generated by the micro-movement of the projectile inside the wire barrel is established. The short-time Fourier transform is used to obtain the transformation law of the longitudinal motion of the projectile in the orbit, and then the Hilbert-Huang transform is used to obtain the detailed micro Doppler information. Finally, applying the wavelet transform to get the amplitude and frequency of the projectile's swing in the jaw. The research shows that by combining three kinds of timefrequency transformation methods, the swing characteristics of the projectile can be quantified, and the wobble frequency error is within 1 kHz. Compared with the experimental data of different groups, the degree of imbalance in the gun barrel can also be judged.
In order to obtain the swing of the projectile moving in the orbit, this paper proposes a test method for obtaining micro-motion attitude related information of the projectile in the orbit through a microwave interferometer. Firstly, the Doppler model generated by the micro-movement of the projectile inside the wire barrel is established. The short-time Fourier transform is used to obtain the transformation law of the longitudinal motion of the projectile in the orbit, and then the Hilbert-Huang transform is used to obtain the detailed micro Doppler information. Finally, applying the wavelet transform to get the amplitude and frequency of the projectile's swing in the jaw. The research shows that by combining three kinds of timefrequency transformation methods, the swing characteristics of the projectile can be quantified, and the wobble frequency error is within 1 kHz. Compared with the experimental data of different groups, the degree of imbalance in the gun barrel can also be judged.
引文
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[14]束长勇,张生俊,黄沛霖,等.基于微多普勒的空间锥体目标微动分类[J].北京航空航天大学学报,2017,43(7):1387-1394.
[15]张小兵.枪炮内弹道学[M].北京:北京理工大学出版社,2014.
[2]张虎龙,苏明,宋永利.基于单摄站的弹体运动姿态测量技术[C]//航空试验测试技术学术交流会,2006.
[3]贺翾,常磊,任勐,等.基于多脉冲激光的弹药姿态测试系统研究[J].弹箭与制导学报,2016,36(3):147-150.
[4]汤雪志,王志军,尹建平,等.弹丸速度测量的高速摄影试验研究[J].兵器装备工程学报,2017(12):167-170.
[5]丁超,唐力伟,曹立军,等.基于结构光的身管膛线高度差检测[J].光学精密工程,2017,25(4):1077-1085.
[6]高瑞,曹馨,杜文斌,等.大口径火炮弹丸卡膛速度测试方法研究[J].测试技术学报,2017,31(4):364-368.
[7]苗晓孔,王春平,付强,等.基于图像分析的弹丸“出膛时刻”检测算法[J].火力与指挥控制,2017,42(6):128-131.
[8]刘海珍,张丕状.膛内弹丸抖动姿态光学测量法的仿真与分析[J].中国测试,2017,43(12):93-97.
[9]郭泽成,陈明,张飞猛.半约束期弹丸膛内运动姿态测试方法[J].兵工自动化,2013,32(3):72-75.
[10]CHEN V C.Micro-Doppler effect of micromotion dynamics:a review[J].Proceedings of SPIE-The International Society for Optical Engineering,2003,51(2):240-249.
[11]CHEN V C.Micro-Doppler effect in radar:phenomenon,model,and simulation study[J].IEEE Trans.on Aerospace and Electronic System,2006,42(1):2-21.
[12]DU L,LI L,WANG B,et al.Micro-Doppler Feature Extraction Based on Time-Frequency Spectrogram for Ground Moving Targets Classification With Low-Resolution Radar[J].IEEE Sensors Journal,2016,16(10):3756-3763.
[13]申强,王猛,李东光.旋转条件GPS接收信号频率和相位变化分析[J].北京理工大学学报,2009,29(1):35-37.
[14]束长勇,张生俊,黄沛霖,等.基于微多普勒的空间锥体目标微动分类[J].北京航空航天大学学报,2017,43(7):1387-1394.
[15]张小兵.枪炮内弹道学[M].北京:北京理工大学出版社,2014.