Processing the cluster bomb explosive dispersion impact signals based on wavelet transform

In order to realize the overload dynamic during the cluster dispersing the bullets, we need to process the collected disperse signals. This paper has processed the collected acceleration signals during disperse experiment with FFT transform, wigner-ville and wavelet analysis. The characteristic parameters of dispersion under specified conditions was got by using wavelet theory to decompose the data in different frequency bands and analyzed the signal. Using wavelet analysis for complex explosive impact data analysis is a rather effective tool. The method of the test data processing for engineering practice is instructive.