Aiming at the problem of online complex Raman spectra signal with fluorescence background and serious peak overlapping

a new method is provided to extract and separate useful signals from fluorescent back-ground signals.Firstly

wavelet transform is used to deduct the fluorescent background（i.e.low frequency components）in original signal.Then immune algorithm is used to separate useful signals.Because immune algorithm may have slow convergence rate and even have non-convergence in multi-component mixture

the standard signals of immune algorithm is weighted by cumulative percentage which is obtained from principal component analysis and overlapping Raman spectra is recognized correctly and quickly.It also meets the requirements of accurate and rapid peak recognition when online Raman spectrometer is used in industry field.