Method for predicting hit probability of rapid fire weapon with correlation of vertical target density

The invention provides a method for predicting the hit probability of a rapid-fire weapon with correlation of vertical target density. The method comprises the following steps: measuring a projectile distribution sequence of the rapid-fire weapon under a ballistic gun vertical target density test condition; measuring a projectile distribution sequence of a fast-fire weapon under a combat gun vertical target density test condition; calculating a vibration error sequence caused by weapon barrel vibration when the weapon is shot; establishing a barrel vibration error sequence regression model by using a time sequence regression method; and measuring firing data errors and a series of errors of the rapid firing weapon. Calculating a predicted value of each ammunition by taking the system difference as initial input of a regression model; the predicted value of each ammunition is used as a mean value, the firing error of each ammunition is calculated according to firing data errors and synthetic random differences