• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.2
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• pp.213-221
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• 2009

An aircraft collision accident is a disaster that causes great losses of inventories and lives. Though a collision avoidance warning function is provided automatically to pilots in the aircrafts by the enhancement of the aircraft capability, achieving fast decision-making to escape a collision situation is a complex and dangerous work for pilots. If an in-flight collision situation is controlled by the air traffic control system which monitors all airplanes in the air, it would be more efficient to prevent in-flight collisions because it can handle the emergency before the pilot's action. In this paper, we develop the collision avoidance warning function in the air traffic control system. Specifically, we design and implement the five stages of the collision avoidance function, and propose a visualization method which could effectively provide the operators with the trajectories and altitudes of the aircrafts in a collision situation. By developing an in-flight collision warning function in the air traffic control system that visualizes flight patterns through the state transition data of in-flight aircrafts on the flight path lines, it can effectively prevent in-flight collisions with traffic alerts. The developed function allows operators to effectively select and control the aircraft in a collision situation by providing the operators with the expected collision time, the relative distance, and the relative altitude while assessing the level of alert, and visualizing the alert information which includes the Attention-Warning-Alert phase via embodying the TCAS standard. With the developed function the air traffic control system could sense an in-flight collision situation before the pilot's decision-making moment.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.6
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• pp.733-738
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• 2009

In this paper, we have proposed the design and implementation for efficient Command Control and Alert(C2A). Information fusion must be done for knowing the state and identification of targets using multi-sensor. The threat priority of targets which are processed and identified by information fusion is calculated by air-defence operation logic. The threat targets are assigned to the valid and effective weapons by nearest neighborhood algorithm. Furthermore, the assignment result allows operators to effectively operate C2A by providing the operators with visualizing symbol color and the assignment pairing color line. We introduce the prototype which is implemented by the proposed design and algorithm.

• Journal of IKEEE
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• v.19 no.3
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• pp.349-356
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• 2015

Air Defense Command Control and Alert(ADC2A) system is a system that ensures simultaneity and integrity of air defense operations by combining sensors, weapons and Command and Control(C2) systems over a tactical network to protect forces, facilities and strategic points from enemy's air attack. Improving message processing speed is a very important factor for ADC2A, because it uses high frequency bit-processing of the Army standard KVMF message to communicate with internal and external systems. In this paper we proposed improved method of KVMF message processing for ADC2A system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.235-237
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• 2017

We suggest a way to improve the performance of a target distance estimation algorithm using Kalman Filter to compensate for the error that occurs when the target track information over the Combat Radio Network is lost.