Development Of Software For Processing Aeronautical Information With Correction Of Navigation Decisions Based On Data From The Airborne Collision Warning System Air


Аuthors

Matsyuk D. Y.

Branch of Public Joint Stock Company Yakovlev – integration center, Moscow, Russia

e-mail: daniil.matsiyuk@yandex.ru

Abstract

The presented scientific paper focuses on the pressing challenge of ensuring the robustness and accuracy of navigational support for modern civil aircraft within a dynamically evolving environment. The primary emphasis is placed on the development and software implementation of specialized algorithms capable of correcting the aircraft's current coordinates through the intelligent processing of information supplied by airborne collision avoidance systems and automatic dependent surveillance-broadcast equipment. Amidst the rising intensity of air traffic and the potential vulnerability of global navigation satellite systems to external interference and technical failures, the creation of alternative and redundant positioning methods has emerged as a critically important direction for the aviation industry's advancement.
The text provides a detailed exploration of the architecture of the software-algorithmic complex, which is capable of integrating heterogeneous data streams into 
a unified navigation loop. The foundation of the proposed solution is the mathematical framework of the Extended Kalman Filter, which effectively manages the tasks 
of filtering stochastic noise and linearizing measurement equations when dealing with non-linear traffic coordinates. The described algorithm operates on a nine-dimensional state vector, allowing for the consideration of not only position and velocity but also dynamic acceleration characteristics, thereby ensuring high precision in trajectory calculations. A significant portion of the work is dedicated to describing the mechanisms for time synchronization and data extrapolation, which are essential for compensating for communication link delays and aligning all measurements to a single point in time.
As part of the project's execution, a system for the adaptive estimation of the geometric dilution of precision regarding surrounding targets was implemented. 
This allows the software complex to prioritize information from the most favorably positioned aircraft in real time, minimizing the impact of unfavorable geometry on the final positioning error. The integrated procedures for integrity monitoring and validation of incoming data packets provide protection against anomalous spikes and false signals, guaranteeing the reliability of the generated navigation solution. 
The results of the conducted simulation experiments demonstrate a consistent reduction in coordinate determination errors, confirming the practical effectiveness of the proposed algorithmic approaches. The outcome of this activity is the creation of a flexible set of tools ready for scaling and integration into promising airborne computers, laying the groundwork for a qualitative enhancement in flight safety and the autonomy of aviation systems.

Keywords:

navigation solution correction; navigation solution integrity; navigation solution redundancy; collision avoidance systems; flight navigation system; extended Kalman filter; automatic dependent surveillance; data processing algorithms; onboard equipment

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