基于FPGA的快速静态光谱复原系统研究

Design and implementation of high-speed spectrum data processing system based on FPGA

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.