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《Laser Journal》 2016-01
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Weak Signal Detection of Laser Range Finder With Chaos Theory and Neural Network

ZHAO Fang;Xinxiang University;  
The weak signal of the optical range finder is chaotic,and the traditional statistical hypothesis testing is difficult to describe the changing trend.In order to obtain a better detection result,a weak signal detection model is proposed for the chaotic theory and neural network. Firstly,the weak signal of the corresponding laser range finder is acquired,and the chaotic theory is used to deal with it,excavate the connotative characteristic of change,and then the weak signal of the laser range finder is modeled by neural network.Finally,an example is used to test the validity of the method.The results show that this model can accurately describe the change rule of weak signal in laser range finder,and detect the useful weak signal.
【CateGory Index】: TN247
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