MATHEMATICAL MODEL FOR AUTOMATED SYSTEMS OF SEISMOACOUSTIC MONITORING OF A MORTAR EXPLOSION CLASSIFICATION FOR CONDUCTING REMOTE RECONNAISSANCE

Reconnaissance is the most important type of ensuring military operations; it is a set of measures taken by all commanders and staff to timely obtain information about the enemy, the terrain, climatic and weather conditions in the area of future hostilities to most effectively use their forces and means to defeat the enemy. The paper presents mathematical models for flavored seismo-acoustic monitoring systems for evaluating classes of mortars that fire to conduct remote reconnaissance. When evaluating the parameters of the mathematical model for seismoacoustic monitoring systems of the mortar explosion signal in the general case, we are faced with such a presentation of the seismoacoustic field model, which is observed when observations are complicated by additive interference. The model depends on the temporal and spatial coordinates and the vector of informative parameters of the model characterizing the research object. The model of the field formation process is defined by two vectors of free parameters of the model, and the model itself is the researcher’s hypothesis about the process being modeled. We divide the parameter vectors according to how they enter the model, linearl