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Multi-Source Impact Position Identification Method for Metal Plates Based on Fiber Bragg Grating

To solve the problems of lack of precision and single positioning target, a method of impact source location identification based on Fast Independent Component Analysis (Fast ICA) algorithm combined with hyperbolic positioning model is proposed and applied to the positioning of metal plates. In this paper, the mixed signals generated from multiple sources are firstly de-mean and whitening. Then the mixed signals are separated based on the negentropy maximization theory. The number of impact sources is determined, the arrival time delay of each independent signal is calculated. Finally, the location information of the impact sources is determined using the hyperbolic localization model. The experiments show that the proposed method can effectively separate the impact superimposed signals on the metal plate and achieve the target location of multiple impact points with an average localization accuracy of 1.95 cm and a localization time delay of about 25 ms. It provides an effective method for impact platform health monitoring.