自混合干涉测速中的信号处理方法研究
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摘要
对自混合干涉信号进行分析时,传统的傅里叶变换是全局分析,无法获得速度随时间变化的信息,为了解决这个问题,提出了基于分段傅里叶变换的方法对速度进行重构。首先通过提取频谱峰值得到多普勒频移随时间变化的曲线,然后通过判断条纹方向和速度计算公式,得出了速度随时间变化的曲线,最后搭建了自混合干涉测速系统对所提算法进行了验证。结果表明,重构的速度相对误差小于4%,且该算法计算过程简单,无需额外增加光路或电路元件,具有自混合干涉系统光路简单、自准直、结构紧凑等优点。
When the self-mixing interference(SMI) signal is analyzed, the traditional Fourier transform is a global analysis, and it is impossible to obtain the information of velocity changing with time. In order to solve this problem, a method based on the segmental Fourier transform is proposed to reconstruct the velocity. Firstly, the peak value of Doppler frequency shift is obtained by extracting the peak value of the spectrum. Then the curve of velocity changing with time is obtained according to the direction of fringes and formula of velocity. Finally, the proposed algorithm is verified by a self-mixing interference velocity measurement system. The results show that the relative error of reconstructed velocity is less than 4%. Moreover, the calculation process of this algorithm is simple, it does not require additional optical path or circuit components, and has the advantages of simple optical path, self-collimation, and compact structure.
When the self-mixing interference(SMI) signal is analyzed, the traditional Fourier transform is a global analysis, and it is impossible to obtain the information of velocity changing with time. In order to solve this problem, a method based on the segmental Fourier transform is proposed to reconstruct the velocity. Firstly, the peak value of Doppler frequency shift is obtained by extracting the peak value of the spectrum. Then the curve of velocity changing with time is obtained according to the direction of fringes and formula of velocity. Finally, the proposed algorithm is verified by a self-mixing interference velocity measurement system. The results show that the relative error of reconstructed velocity is less than 4%. Moreover, the calculation process of this algorithm is simple, it does not require additional optical path or circuit components, and has the advantages of simple optical path, self-collimation, and compact structure.
引文
[1]JIANG C,ZHANG Z,LI C.Vibration measurement based on Multiple Self-Mixing Interferometry[J].Optics Communications,2016,(367):227-233.
[2]TAO Y,WANG M,GUO D,et al.Self-mixing vibration measurement using emission frequency sinusoidal modulation[J].Optics Communications,2015,340(340):141-150.
[3]徐军.单模VCSEL自混合测速、测距及三维图像技术的研究[D].合肥:中国科学技术大学,2006.
[4]黄贞.基于半导体激光自混合干涉的振动测量研究与应用[D].哈尔滨:哈尔滨工业大学,2014.
[5]何德勇.单模VCSEL自混合激光多普勒测速研究[D].合肥:中国科学技术大学,2008.
[6]PLANTIER G,SERVAGENT N,SOURICE A,et al.Real-time parametric estimation of velocity using optical feedback interferometry[J].Instrumentation&Measurement IEEE Transactions on,2015,50(4):915-919.
[7]张玉燕.基于LD自混合干涉的位移及速度测量技术的研究[D].秦皇岛:燕山大学,2006.
[8]刘盛刚.自混合干涉测速技术研究[D].绵阳:中国工程物理研究院,2009.
[9]赵新才.激光干涉测速系统中的小波算法研究[D].成都:电子科技大学,2011.
[10]姜春雷.基于多重反馈自混合干涉的振动测量技术研究[D].哈尔滨:哈尔滨工业大学,2017.
[2]TAO Y,WANG M,GUO D,et al.Self-mixing vibration measurement using emission frequency sinusoidal modulation[J].Optics Communications,2015,340(340):141-150.
[3]徐军.单模VCSEL自混合测速、测距及三维图像技术的研究[D].合肥:中国科学技术大学,2006.
[4]黄贞.基于半导体激光自混合干涉的振动测量研究与应用[D].哈尔滨:哈尔滨工业大学,2014.
[5]何德勇.单模VCSEL自混合激光多普勒测速研究[D].合肥:中国科学技术大学,2008.
[6]PLANTIER G,SERVAGENT N,SOURICE A,et al.Real-time parametric estimation of velocity using optical feedback interferometry[J].Instrumentation&Measurement IEEE Transactions on,2015,50(4):915-919.
[7]张玉燕.基于LD自混合干涉的位移及速度测量技术的研究[D].秦皇岛:燕山大学,2006.
[8]刘盛刚.自混合干涉测速技术研究[D].绵阳:中国工程物理研究院,2009.
[9]赵新才.激光干涉测速系统中的小波算法研究[D].成都:电子科技大学,2011.
[10]姜春雷.基于多重反馈自混合干涉的振动测量技术研究[D].哈尔滨:哈尔滨工业大学,2017.