Frequency-scanningnon-linearity influences range-detection accuracy of optical fiber sensors. In this paper,the influence is analyzed and a recovering technique is proposed. Non-linearity isrecovered through the learning process of backpropagation neural network. Simulationresults show that very accurate estimation is achieved even under severe non-linearity ofthe scanning source. The on-line learning of neural network is also investigated to makethis method more practical.