基于FPGA的快速静态光谱复原系统研究
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摘要
为了实现静态干涉系统光谱分布的快速复原,设计了一种基于FPGA的快速光谱数据处理系统。通过FPGA硬件设计完成了对CCD数据的高速采集与快速光谱数据反演计算。依据静态干涉条纹空域到频域的变化特性,设计了相应的驱动模块,并通过仿真分析验证了其高效性。选用三种不同位深的数据形式进行对比,结果显示,8 bit速度最快,但光谱对比度最差,12 bit对比度最好,但耗时较长,综合比较选取了光谱振幅对比度和处理速度均适中的10 bit,并由此构建了FPGA光谱复原系统。实验采用980 nm激光入射静态干涉模块获得的静态干涉条纹进行测试。同组数据还采用MATLAB进行光谱反演,对比结果显示,系统测试数据的中心波长位置、幅值及半宽与MATLAB仿真数据相符。
In order to realize the fast restoration of spectral distribution of static interference system, a fast spectral data processing system is designed based on FPGA. Through the FPGA hardware design, the high-speed acquisition and rapid spectral data inversion calculations of the CCD data have been completed. According to the characteristics of the spatial domain to the frequency domain of static interference fringes, the corresponding drive module is designed. Through simulation analysis, it verified its high efficiency. We chose to use three different types of data for comparison. The results show that 8 bit is the fastest, but its spectral contrast is the worst; The 12 bit contrast is best, but it takes longer. In a comprehensive comparison, 10 bit are selected, and its spectral amplitude contrast and processing speed are both moderate. Finally, an FPGA spectral restoration system was constructed.The static interference fringe obtained by the 980 nm laser incident static interference module was tested. The same set of data also uses MATLAB for spectral inversion. The comparison results show that the center wavelength position, amplitude and half-width of the system test data are in accordance with the MATLAB simulation data.
In order to realize the fast restoration of spectral distribution of static interference system, a fast spectral data processing system is designed based on FPGA. Through the FPGA hardware design, the high-speed acquisition and rapid spectral data inversion calculations of the CCD data have been completed. According to the characteristics of the spatial domain to the frequency domain of static interference fringes, the corresponding drive module is designed. Through simulation analysis, it verified its high efficiency. We chose to use three different types of data for comparison. The results show that 8 bit is the fastest, but its spectral contrast is the worst; The 12 bit contrast is best, but it takes longer. In a comprehensive comparison, 10 bit are selected, and its spectral amplitude contrast and processing speed are both moderate. Finally, an FPGA spectral restoration system was constructed.The static interference fringe obtained by the 980 nm laser incident static interference module was tested. The same set of data also uses MATLAB for spectral inversion. The comparison results show that the center wavelength position, amplitude and half-width of the system test data are in accordance with the MATLAB simulation data.
引文
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[2]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.
[3]KAZUMASA T,HIROTAKA A,KATSUNARI O.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]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.
[5]Li Xiao,Zhang Jilong,Tian Erming.Passive laser spectrum detection technology based on static interferometer[C].2008International Conference of Optical Instrument and Technology,Proceedings.of SPIE,2008,7160:11-15.
[6]ALESSANDRO R,MARCO D,GIOVANNI C.Bilateral filter-based adaptive non-uniformity correction for infrared focal-plane array systems[J].Optical Engineering,2010,49(5):057003.
[7]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.
[8]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.
[9]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.
[10]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.
[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-AN International Journal,2005,19(1):43-51.
[12]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.