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The Impact of Numerical Shifts on the Field Artillery Firing Accuracy

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Developments and Advances in Defense and Security (MICRADS 2023)

Abstract

This article evaluates the impact of numerical shifts on firing data determination, the propagation of deviations resulting from this practice, and their influence on the accuracy of field artillery fires. It also examines the necessity of diverse shifting rules and the feasibility of implementing a unified approach across all existing procedures. The work utilised a mixed methodology, combining deductive reasoning, experimental methods, and quantitative analysis. We simulate the uncertainty propagation in target location methods and the determination of firing data, analysing the resulting uncertainty concerning the anticipated impact points caused by numerical shifting. The study compares the effects of firing data with the effective lethal radius of field artillery munitions deployed by the Portuguese Army. Our findings reveal that the deviations arising from the prescribed shifting technique, as defined in the doctrine concerning target location methods and firing data determination, may surpass the lethal radius of the ballistics munitions, thus reducing the effectiveness of the fires and necessitating alternative numerical shifting in contemporary practice. We propose an alternative numerical shifting approach to enhance the effects while streamlining the process of target location and firing data determination.

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Notes

  1. 1.

    These deviations will not occur in all observations performed by the FO since these are limited to \({\varepsilon }_{a}\in \left[1 .. 50\right]\) m in each coordinate.

  2. 2.

    This limit is set by the capacity of the optical instruments used in the Portuguese Army.

References

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Correspondence to H. Gouveia .

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Gouveia, H., Borges, J. (2024). The Impact of Numerical Shifts on the Field Artillery Firing Accuracy. In: Rocha, Á., Fajardo-Toro, C.H., Rodríguez, J.M.R. (eds) Developments and Advances in Defense and Security. MICRADS 2023. Smart Innovation, Systems and Technologies, vol 380. Springer, Singapore. https://doi.org/10.1007/978-981-99-8894-5_12

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