Pump optimal configuration algorithm for the multipumped sources of distributed Raman fiber amplifiers

Using the feature that the gain peak wavelength only depends on the pump wavelength, the multi-pump sources and their gain peak wavelengths can be considered as the input and output variables of the single layer feed-forward neural networks, and the optimal design for multi-pumped Raman Fiber Amplifier can be converted to a optimal problem of the single layer feed-forward neural networks. With the optimal algorithm the Raman gain spectra of multi-pumped FRAs were investigated. The results show that the optimal configuring algorithm is simple and effective.