Research On The Intelligence Detection System Based On The Shock Wave Target

For shooting training, the traditional target-reporting system has been unable to meet the needs of modern training because of its low efficiency and poor accuracy. How to get the real-time, efficiency and accuracy training results has become a difficult problem for the intelligent training system.By analyzing the shock wave and burst theory, the intelligence detection system based on the shock wave target was constructed. The system includes the hardware circuit and the software PC. For the signal of the projectile cone shock with noise, the empirical mode decomposition and wavelet threshold denoising method is used to get useful signal from the noise. This way combines the advantages of the two aspects of the denoising methods,and it is very good to complete denoising process. Fixing the position of the bullet in the target by the method of the new triangle algorithm, we acquire the signal from the stereo ten point piezoelectric sensor arrangement. In the algorithm of position, the weighted coefficient can be obtained by a new method. Make optimizations by legacy algorithm in neural network. By simulation analysis, the method can be used to detect the error of the system. Compared with the traditional manual detection method, it is verified that the target detection system of the target image can improve the accuracy and the degree of automation.