基于径向基函数网络的激光诱导荧光特征光谱分离算法

A method of characteristic LIF spectral signatures separation based on radial basis function networks

应用激光诱导荧光技术测量水中溶解有机物(DOM)含量,具有灵敏度高、检测速度快、可遥测等优点,其中特征荧光光谱的分离在系统中占有十分重要的地位.在分析激光诱导荧光光谱特征的基础上,提出了采用径向基函数网络(RBFN)分析荧光光谱数据的数学模型,应用这种模型从荧光光谱中恢复出了激光、拉曼和DOM的荧光等光谱分量成分,从而得到了水中DOM的浓度.

The separation of characteristic spectral signatures plays an important role in the laser lnouced fluorescence（LIF） system used for monitoring dissolved organic matter （DOM） in polluted water, which has advantages of high sensitivity, fast detection, remote measurement,etc. In this paper, a method of characteristic spectral signatures separation based on radial basis function networks （RBFN） will be presented. Using this method,we separated the spectral components of laser, Raman and fluorescence of DOM from the LIF spectral. The concentration of DOM in polluted water can be retrieved from the separated spectrums.