Abstract: A signal processing method based on the automatic identification algorithm for wavelet transform and correlation analysis is proposed for the large fluctuation noise and the impossible automatic discrimination of the laser screen warhead fragment velocity measuring signals. The proposed method removes the noises from the original signals by using the multi-resolution analysis and band-pass filtering of discrete waveform transform and the wavelet threshold denoising method. The time of the fragment flying through the laser screen can be obtained by the peak detection. And the automatic waveform identification of the same fragment is realized according to the correlation analysis of the signals of the same fragment flying through two laser screens. Twelve groups of the collected waveforms are processed. The results show that the proposed algorithm can remove the noises perfectly, 96.9% of recognition rate of fragments can be achieved, and the automatic identification rate of the corresponding waveform of the same fragment is 87.2%.

Key words: ordnance science and technology, laser screen, velocity measuring signal, wavelet transform, correlation analysis, automatic identification, velocity