一种基于FPGA的高速光谱反演系统
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摘要
为了高速采集并反演光谱数据,采用FPGA设计了一种高速光谱反演系统。由FPGA控制CCD驱动模块,使CCD高速采集干涉条纹数据并传输给FPGA处理模块。设计了高速数据采集与处理的FPGA硬件结构,通过仿真数据分析了采集模块与处理模块的时序逻辑关系。为了同时满足系统光谱反演精度与速度的要求,对比了8 bit、10 bit和12 bit数据位深条件下的频谱分布,实验结果显示,位深越小速度越快,但其会降低光谱反演的对比度;而位深越大光谱反演的对比度越好,但处理速度越慢,综合考虑本系统采用10 bit位深结构。实验针对中心波长为975 nm的激光进行光谱反演,并与MATLAB反演数据进行对比分析。结果显示本系统检测精度符合要求,且速度更快。
To acquire and invert spectral data at high speed, a high-speed spectral inversion system was designed using a field programmable gate array(FPGA). A charge-coupled device(CCD) driver module is controlled by the FPGA to enable the CCD to acquire interference fringe data at high speed, and then transmit it to the FPGA processing module. In this study, the FPGA hardware structure of high-speed data acquisition and processing was designed. Through simulation data, the temporal logic relationship between the acquisition and processing modules was analyzed. To meet the requirements of system spectral inversion accuracy and speed simultaneously, we compared the spectrum distribution under 8-, 10-, and 12-bit data depth conditions. The experimental results showed that the smaller the bit depth, the faster the speed, but the contrast of spectral inversion is reduced. By contrast, the larger the bit depth, the better the spectral inversion contrast, but the slower the processing speed. Considered comprehensively, this system adopts a 10-bit deep structure. Experiments were performed on the spectral inversion of a laser with a central wavelength of 975 nm, and the results were compared with MATLAB inversion data. The results show that the detection accuracy of this system meets the requirements, and the speed is faster.
To acquire and invert spectral data at high speed, a high-speed spectral inversion system was designed using a field programmable gate array(FPGA). A charge-coupled device(CCD) driver module is controlled by the FPGA to enable the CCD to acquire interference fringe data at high speed, and then transmit it to the FPGA processing module. In this study, the FPGA hardware structure of high-speed data acquisition and processing was designed. Through simulation data, the temporal logic relationship between the acquisition and processing modules was analyzed. To meet the requirements of system spectral inversion accuracy and speed simultaneously, we compared the spectrum distribution under 8-, 10-, and 12-bit data depth conditions. The experimental results showed that the smaller the bit depth, the faster the speed, but the contrast of spectral inversion is reduced. By contrast, the larger the bit depth, the better the spectral inversion contrast, but the slower the processing speed. Considered comprehensively, this system adopts a 10-bit deep structure. Experiments were performed on the spectral inversion of a laser with a central wavelength of 975 nm, and the results were compared with MATLAB inversion data. The results show that the detection accuracy of this system meets the requirements, and the speed is faster.
引文
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[3]Takada Kazumasa,Aoyagi Hirotaka,Okamoto Katsunari.Correction for phase-shift deviation in a complex Fourier transform integrated-optic spatial heterodyne spectrometer with an active phase-shift scheme[J].Optics Letters,2011,36(7):1044-1046.
[4]周志娟,张玉贵,樊奔.基于FPGA的干涉信号双ADC采集系统设计[J].电子测量技术,2016,12(4):123-128.ZHOU Zhijuan,ZHANG Yugui,FAN Ben.Design of interference signal double ADC acquisition system based on FPGA[J].Electronic Measurement Technology,2016,12(4):123-128.
[5]LI Xiao,ZHANG Jilong,TIAN Erming.Passive laser spectrum detection technology based on static interferometer[C]//2008 International Conference of Optical Instrument and Technology,Proc.of SPIE,2008,7160:11-1-5
[6]李岩,徐金甫.基于新型FPGA的FFT设计与实现[J].计算机工程与应用,2007,43(14):102-104.LI Yan,XU Jinfu.FFT design and implement based on late-model FPGA[J].Computer Engineering and Applications,2007,43(14):102-104.
[7]吕默,陈晨,王一丁.用于中红外痕量气体检测的光电信号高速采集系统设计[J].激光杂志,2016,37(2):26-29.LV Mo,CHEN Chen,WANG Yiding.High-speed optical signal acquisition system for trace Gases detection in mid-infrared absorption spectrum[J].Laser Journal,2016,37(2):26-29.
[8]贺刚,柏鹏,彭卫东,等.一种基于IP核通信系统中滑动相关捕获算法的FPGA实现[J].江西师范大学学报:自然科学版,2011,35(2):151-154.HE Gang,BAI Peng,PENG Weidong,et al.The design and realization for slip correlation capture algorithmic of a sort of communication systems based on FPGA IP core[J].Journal of Jiangxi Normal University:Natural Sciences Edition,2011,35(2):151-154.
[9]张多利,沈休垒,宋宇鲲,等.基于异构多核可编程系统的大点FFT卷积设计与实现[J].电子技术应用,2017,43(3):16-20.ZHANG Duoli,SHEN Xiulei,SONG Yukun,et al.Design and implementation of large FFT convolution on heterogeneous multicore programmable system[J].Application of Electronic Technique,2017,43(3):16-20.
[10]陈珂,刘学聪,罗先卫,等.32通道光纤阵列式高灵敏飞秒激光光谱分析仪[J].光电子·激光,2015,26(1):116-119.CHEN Ke,LIU Xuecong,LUO Xianwei,et al.32-channel fiber array input femtosecond laser optical spectrum analyzer with high sensitivity[J].Journal of Optoelectronics·Laser,2015,26(1):116-119.
[11]Miles A J,Wien F,Lees J G.Calibration and standardization of synchrotron radiation and conventional circular dichroism spectrometers.Part 2:factors affecting magnitude and wavelength[J].Spectroscopy-ANInternational Journal,2005,19(1):43-51.
[12]郭嘉,卢启鹏,高洪智,等.基于FPGA的无创伤血液成分光谱采集系统设计[J].光谱学与光谱分析,2016,36(9):2991-2996.GUO Jia,LU Qipeng,GAO Hongzhi,et al.Design of noninvasive blood constituent spectrum data acquisition system based on FPGA[J].Spectroscopy and Spectral Analysis,2016,36(9):2991-2996.