Journal of Radio Electronics. eISSN 1684-1719. 2026. ¹1

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DOI: https://doi.org/10.30898/1684-1719.2026.1.14

 

 

 

DEVELOPMENT OF A SOFTWARE PACKAGE
FOR COMPARATIVE ANALYSIS OF AIRCRAFT GUIDANCE
ALGORITHMS BASED ON DIGITAL TERRAIN MAPS

 

L.D. Dorosinsky, A.A. Ponomarev

 

Ural Federal University named after the First President of Russia B.N. Yeltsin,
620002, Russia, Yekaterinburg, Mira str., 19

 

The paper was received December 1, 2025.

 

Abstract. The urgency of developing autonomous guidance systems for aircraft is due to the growing demands on their independence and reliability. Traditional inertial systems suffer from the accumulation of errors over time, and satellite navigation technologies (GPS, GLONASS) are vulnerable to electronic jamming, which critically limits their use in counteraction conditions. In this regard, methods using digital terrain maps are a promising area. The purpose of this work was to develop a specialized software package for comparative analysis of the accuracy and noise immunity of two guidance methods: the classical correlation-extremal algorithm (CEA) and an approach based on a fully connected convolutional neural network (FCN). In the course of the research, a modular software architecture was created, including a synthetic relief generator based on the Fourier filtering method, a convolutional neural network learning mechanism, and an algorithm for calculating correlation metrics. For user convenience, a graphical interface based on PyQt5 has been implemented, providing interactive control of experiment parameters and visualization of results. The experiments carried out using the complex allowed us to establish that the correlation-extremal algorithm retains an advantage with a minimum number of reference data, while the neural network approach demonstrates higher noise immunity and accuracy after training on representative samples. An inverse relationship was also revealed between the recognition accuracy and the value of the spatial correlation parameter of the relief for both methods. An important result is the creation of a universal software tool that allows for a comprehensive assessment of the effectiveness of guidance algorithms in various conditions and can be adapted to solve practical problems of autonomous navigation, opening up opportunities for research in the field of hybrid navigation systems.

Key words: software package, graphical interface, digital terrain model, synthetic terrain, correlation-extremal algorithm, convolutional neural network, aircraft guidance, autonomous navigation, algorithm comparison, Fourier filtering, noise immunity.

Corresponding author: Artem Alekseevich Ponomarev, artemp14@gmail.com

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For citation:

Ponomarev A.A., Dorosinsky L.G. Development of a software package for comparative analysis of aircraft guidance algorithms based on digital terrain maps. // Journal of Radio Electronics. - 2026. - ¹. 1. https://doi.org/10.30898/1684-1719.2026.1.14 (In Russian)