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《Laser Journal》 2016-03
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Automatic detection of weak signal of optical sensor based on Neural Network

LIU Tao;HAN Jan-ning;HOU Lin;North University of China;  
Research on the automatic detection of weak signal in optical sensor has great practical significance,in order to improve the accuracy of the automatic detection of weak signal in light sensor,a new method for automatic detection of weak signal based on neural network is proposed in this paper. In this method,a series of weak signals of the light sensor are collected,and the phase space is reconstructed by mutual information method and false nearest point method,and secondly,the weak signal of the reconstructed optical sensor is modeled and tested by using the extreme learning machine,finally,the weak signal data of the optical sensor is used in the simulation experiment. Compared with other methods,the results show that the proposed method can accurately reflect the chaotic characteristics of the weak signal of the optical sensor,the suppression of the effect of the noise on the useful signal,and the detection accuracy is greatly improved,which can be applied to the automatic detection of weak signal of the optical sensor.
【Fund】: 国家自然科学基金(51201154)
【CateGory Index】: TP183;TN911.23
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