Wavelet theory is a useful tool for processing the non-placement signal, this paper analyzes the feature extraction method of battlefield acoustic signal based on the wavelet packet analysis theory. Features of four types of acoustic signals of the battlefield target are extracted and low-dimension feature vectors are obtained by using this technique. BP neural network classifier is designed for the acoustic target classification. Satisfactory experimental results are obtained with highly classification accuracy.