Ammunition Consumption Prediction Method Based on Data Fusion

Abstract

Aiming at the limitation of traditional ammunition consumption in the experimental sample, and it is difficult to comprehensively consider the influence of many factors, a new ammunition consumption prediction method based on Bayes system fusion is proposed. This method analyzes and obtains the key influencing factors when extracting the factors affecting the consumption of new ammunition, and generates the system contribution model according to the weight. After the system samples of the ammunition consumption test samples under the influence of single factors are merged with the field test data, it is expected that the new ammunition consumption under the influence of complex factors will be obtained. Based on the data of the penetration effect of a new type of ammunition, two key factors of the incident angle and impact velocity of the projectile are obtained by multi-factor analysis method. Using this method to statistically infer the target to achieve the ammunition consumption under severe damage, verify the scientific and feasible method.