Efficiency analysis of correction method of methodical error of distributed automatic system of sound artillery intelligence on the basis of cellular communication

In this article, the topical problem of determining the effectiveness of the method of correcting the methodological error of the distributed automatic sound artillery reconnaissance system (SAR) is considered. The information on deviation of values of methodical error obtained during application of the mentioned method from ideal values, which were obtained by means of computer modelling, was compared. The non-excluded measurement error of the target direction angle was used as a measure to evaluate the effectiveness of the correction. Consideration of the dependence of this error on the distance to the target determines the conclusion that the error value is inversely proportional to the ratio of the distance to the target to the length of AB.The results of the comparison showed a significant deviation of the values in cases where the sound receiver of the SAR system is located close to the sound signal source. The latter can often happen in SAR systems built on the basis of cellular communication. The existing methodology for correcting the methodological error of obtaining the angle of direction of the target was analysed. To assess the effectiveness of the correction method for various initial data, a "non-excluded" error of measuring the angle of direction of the target was used. In order to determine the effectiveness of the proposed method of methodical error correction, it is proposed to apply simulation modeling. The results of computer modeling, which justify the need to use more accurate methods of calculating the error with the use of specialized computing tools, are also presented. The proposed research results can be applied to estimate the error of target coordinate measurement results using the SAR system for targets installed close to sound receivers. This assessment can be used as a criterion for selecting both coordinates for installing sound receivers of the distributed system of SAR, and adapting the signal processing algorithm of these sound receivers.