为了可以同时获取多谱段光谱信息, 并且多测试数据同步处理, 设计了一种基于现场可编程门阵列+数据信号处理器的同步采集与处理系统。采用非均匀快速傅里叶变换(NUFFT)算法对包含目标信息的谱段采样进行了针对多谱段数据非均匀采样的理论分析和实验验证。针对632nm, 880nm和980nm 3种不同激光波长同时实验测试, 分别采用本系统与传统光谱分析算法进行了对比。结果表明, 本系统在3个波长峰值位置上的信噪比分别是31.6dBm,36.3dBm和32.5dBm, 而传统光谱仪的信噪比仅为20.1dBm,25.4dBm和23.7dBm, 采用本系统硬件设计配合NUFFT算法可以有效增强多谱段光谱信息获取过程中的信噪比。本系统的处理速度更快, 在多光谱快速处理方面具有一定的应用价值。

In order to simultaneously acquire multi-spectral spectral information and multi-test data synchronization processing, a synchronous acquisition and processing system based on field-programmable gate array(FPGA)+digital signal processor(DSP) was designed. The non-uniform fast Fourier transform (NUFFT) algorithm was used to sample the spectral segments containing the target information, and the theoretical analysis and experimental verification for the non-uniform sampling of multi-spectral data were carried out. The experiments were respectively carried out simultaneously for three different laser wavelengths of 632nm, 880nm, and 980nm. The system was compared with the traditional spectral analysis algorithm. The test results show that the signal-to-noise ratio of the system at the peak position of three wavelengths is 31.6dBm, 36.3dBm, and 32.5dBm, respectively, while the signal-to-noise ratio of the traditional spectrometer is only 20.1dBm, 25.4dBm, and 23.7dBm. It can be seen that the hardware design of the system and the NUFFT algorithm can effectively enhance the signal-to-noise ratio in the process of acquiring multi-spectral spectral information. At the same time, the processing speed of the system is also faster, and it has certain application value in multi-spectral fast processing.