Optimization method for target monitoring and tracking performance of airborne collision avoidance system

Abstract

The invention relates to the technical field of airborne collision avoidance, and discloses an optimization method for the target monitoring and tracking performance of an airborne collision avoidancesystem. Specifically, the method includes the following processes: judging whether an aircraft is making large maneuvering flight according to the course angle, roll angle and pitch angle informationinput by a carrier aircraft; if the aircraft is making large maneuvering flight, correcting the track angle of current monitoring and tracking according to the evaluated course angle change rate to form a virtual corrected track, and dispatching the launch direction of an inquiry signal according to the azimuth angle of the virtual corrected track to make an inquiry; and if a received response signal satisfies the track updating rule, converting the virtual corrected track into a corrected track and outputting the corrected track to the next processing cycle, and keeping the aircraft in the period of large maneuvering flight. Through the scheme, the influence of the antenna and the installation environment on the azimuth measurement of a target aircraft is eliminated, the accuracy and stability of the track tracking angle are maintained, and the situation awareness ability is improved.

Description

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AI Technical Summary

Benefits of technology

The technical effect described in this patented technology helps prevent errors from happening during an airborne radar system called Target Aircraft Tracking System (TAS). By eliminating these influences such as its own conditions or environmental impact, it can achieve better performance even at high altitudes without losing precision due to changes made along their trajectory path. This improves overall safety for pilots operating within that range.

Problems solved by technology

This patented technical problem addressed in this patents relating to improving the security of flying objects during emergency situations involves ensuring accurate detection of obstacles while minimizing false alarms caused by wakeup events like wind turbulence. Current systems have difficulty identifying small targets accurately when they approach each other, leading them into potentially hazardous scenarios.

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