The analysis of implementation methodology of sound metric stations AZK-5 and AZK-7, which are adopted by the Armed Forces of Ukraine and some other countries, shows that this methodology provides an approximation of the second-order curve – hyperbola, which describes the location of the target by its asymptotic rays. This approximation provides simplification of algebraic and geodesic computing. Nevertheless, it causes the emergence of methodology error of target bearing process.
The implementation of the geometrical model for acoustic base description provides the development of a mathematical model, which analytically describes the mentioned above error. Analysis of this mathematical model of methodic error envisages that its value can significantly exceed an instrumental error of involved sound metric stations if the distance to the target slightly exceeds the distance between sound receivers. The correction of this error is not provided by active methodology of sound metric station implementation. Also, analysis of error shows that it is systematical. Therefore, measurement of the target coordinates and counter-battery fire correction by the same sound metric stations provides significantly decreasing its influence on target hitting.
However, this error complicates the compatibility of measurement results both with other sound metric stations and with other types of intelligence. Providing the compatibility of measurement results by sound metric stations with other stations and other types of intelligence demands the correction of the error of measurement method for the distances to the target less than 6–7 lengths of acoustic base or implementation of other, most exact methods of angle computation.
 A. Kryvosheev, V. Petrenko, A. Pryhodko, The basics of artillery intelligence. Sumy, Ukraine: Sumy State university, 2014.
 R. I. Shuliachenko, V. I. Kryvonosenko, The sound artillery ranging. Military publish house, Moscow, 1993.
 P. E. Trofimenko, U. H. Filipenko, “The sound intelligence station – 100 years”, Journal of SummySU, The series of technical sciences, iss. 3, 2009.
 O. V. Ustumenko, “Perspectives on the creation of reconnaissance and shock systems based on existing RSVF”, in Prosp. for development of missile troops and Artillery of the Ground Forces: Sc.Techn. Conf, pp. 203–206, 2014.
 O. І. Petliuk, I. V. Petliuk, “Features of the use of units of artillery intelligence during combat operations during ATO”, in Prosp. for development of missile troops and Artillery of the Ground Forces: Sc.Techn. Conf., 2015. pp 114–115.
 I. Makhno, “The officer of Ukraine”, Journal of the national land forces academy of Petro Sahaidachny, iss. 6, 2014.
 O. O. Furtes, O. O. Pototskiy, V. B. Riy, “Prospects for the development of the counter-naive struggle of the Army Forces Army units”, in Prosp. for development of missile troops and Artillery of the Ground Forces: Sc.Techn. Conf., p. 114, 2017.
 R. I. Shuliachenko, “The sound ranging in the artillery”. SPb, 1993.
 R. V. Kochan, B. R. Trembach, “Estimation of the error of measurement of the angle to the target by the distributed system of sound artillery intelligence”, Measuring equipment and metrology, iss. 77, pp. 177–182, 2016.
 S. K. Stein, Calculus and analytic geometry. McGraw-Hill Companies, 1987.
 A. Stepanenko et al., “Development of a minimal IEEE 1451.1 model for microcontroller implementation”, in Proc. Sensors Appl. Symp., pp. 88–93, 2006.
 V. Hrusha et al., “Distributed Web-based measurement system”, IEEE Intel Data Acq. and Adv. Comp. Systems: Techn and Appl., IDAACS, IEEE, pp. 355–358, 2005.
 N. Vasylkiv et al., “The control system of the profile of temperature field”, IEEE Intel Data Acq. and Adv. Comp. Systems: Techn and Appl., IDAACS, IEEE, pp. 201–206, 2009.
 V. Kochan et al. “Approach to improvement the network capable application processor compatible with IEEE 1451 standard”, IEEE Intel Data Acq. and Adv. Comp. Systems: Techn and Appl., IEEE, pp. 437–441, 2003.