基于DSPs的实时多光谱检测系统研究
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摘要
为了实现多光谱数据的实时获取,抑制光源间及背景噪声的干扰,设计了一种高速光谱反演系统。采用帧减降噪处理算法抑制噪声,设计了三级兵乓缓存结构提高系统处理速度,仿真了帧减降噪算法对多光谱同时入射的分离效果。实验中系统同时采集处理555 nm、660 nm和805 nm 3种激光信号,由DSP5510实现数据控制,由DMA8237实现高速采集。结果显示,干涉条纹在不做任何处理时其对比度为0.39,经滤波校正后为0.57,提高了48.7%,可见对背景光噪声具有明显抑制效果;直接反演的光谱分布半宽约40 nm,而经帧减降噪算法后半宽仅约15 nm,可见其旁瓣抑制效果明显。
In order to achieve real-time acquisition of multi-spectral data and suppress interference between light sources and background noise,a high-speed spectral inversion system was designed. Using the frame de-noise reduction algorithm to suppress noise,a three-level pawn buffer structure was designed to improve the system processing speed,and the separation effect of the frame de-noising algorithm for simultaneous multi-spectral incidence was simulated. In the experiment,the system simultaneously collects and processes three kinds of laser signals: 555 nm,660 nm and 805 nm. Data is controlled by the DSP5510,and the DMA8237 achieves high-speed acquisition. The results show that the interference fringe has a contrast ratio of 0.39 without any treatment,0.57 after correction with a filter,and an increase of 48.7%,which shows that the background light noise has a significant inhibitory effect; the spectral width of the direct inversion distribution is about 40 nm. After the frame de-noise reduction algorithm,the half-width is only about 15 nm,which shows that the sidelobe suppression effect is obvious.
In order to achieve real-time acquisition of multi-spectral data and suppress interference between light sources and background noise,a high-speed spectral inversion system was designed. Using the frame de-noise reduction algorithm to suppress noise,a three-level pawn buffer structure was designed to improve the system processing speed,and the separation effect of the frame de-noising algorithm for simultaneous multi-spectral incidence was simulated. In the experiment,the system simultaneously collects and processes three kinds of laser signals: 555 nm,660 nm and 805 nm. Data is controlled by the DSP5510,and the DMA8237 achieves high-speed acquisition. The results show that the interference fringe has a contrast ratio of 0.39 without any treatment,0.57 after correction with a filter,and an increase of 48.7%,which shows that the background light noise has a significant inhibitory effect; the spectral width of the direct inversion distribution is about 40 nm. After the frame de-noise reduction algorithm,the half-width is only about 15 nm,which shows that the sidelobe suppression effect is obvious.
引文
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[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.
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[7]戴军,唐湘成,高志峰.海空背景下红外图像处理系统设计与实现[J].红外技术,2016,38(2):121-125.
[8]Yoshimura H,Asakura T,Takai N.Spatial Coherence Properties of Light from Optical Fibres[J].Optical and Quantum Electronics.1992,24(6):631-646.
[9]郭文记,曾晓茹,赵宝玮,等.高光谱RX异常检测的多DSP并行化处理技术[J].光谱学与光谱分析,2014,34(5):1383-1387.
[10]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.
[11]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.
[12]王伟,陆亦怀,陆钒,等.基于DSP的傅里叶变换红外光谱仪动镜控制系统设计[J].量子电子学报,2015,32(1):8-16.
[13]李婵,万晓霞,谢伟,等.多通道光谱采集系统滤光片设计方法研究[J].应用光学,2016,37(5):639-643.