Intelligent Target-scoring System Based On Ultrasonic Positioning

In the modern military training or sports competition, the results of test in firing training is an important part. At present, traditional target reporting which uses manual-based method exists some serious problems, for example, poor accuracy, low efficiency, waste of human resources and a certain security risk. In order to improve the level of training and safety factor, the research of automatic target system is strongly needed.This paper analyzes the theory of shock wave and sonic boom, proposes the composing figure of the intelligent target-scoring system, analyzes the method of ultrasonic sensor array, discusses mathematical formula of point coordinate of bullet, then rearches the wavelet thresholding denoising of bullet shock wave signal, transmits the denoising signal to the processor and processes the information,reports the results of target-scoring through software programming of the PC. The main content of this thesis contains denoising of bullet shock wave and the distribution of sensor arrays. The simulation results of wavelet thresholding denoising show that the choice of denoising algorithm can improve signal noise ratio of the system and reduce the mean square error. On researching the distribution of sensor array, this paper proposes the location model of 11 lattices, and optimizes the weighting coefficient by genetic neural network algorithm, further reduces the error of the target scoring system.