• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.189-192
• /
• 2021

This study applies a deep learning-based long short-term memory(LSTM) model to track tracking technology. In the case of existing track tracking technology, the weight of constant velocity, constant acceleration, stiff turn, and circular(3D) flight is automatically changed when tracking track in real time using LMIPDA based on Kalman filter according to flight characteristics of an aircraft such as constant velocity, constant acceleration, stiff turn, and circular(3D) flight. In this process, it is necessary to improve performance of changing flight characteristic weight, because changing flight characteristics such as stiff turn flight during constant velocity flight could incur the loss of track and decreasing of the tracking performance. This study is for improving track tracking performance by predicting the change of flight characteristics in advance and changing flight characteristic weigh rapidly. To get this result, this study makes deep learning-based Long Short-Term Memory(LSTM) model study the plot and target of simulator applied with radar error model, and compares the flight tracking results of using Kalman filter with those of deep learning-based Long Short-Term memory(LSTM) model.

• Aerospace Engineering and Technology
• /
• v.11 no.2
• /
• pp.171-181
• /
• 2012

As a sub-system of an air traffic control system, SDP(Surveillance Data Processor) provides with the system tracks of aircraft using the surveillance sensor data from various air traffic surveillance sensors, such as radars. Therefore, the high accuracy of tracking results is a crucial requirement for safe flights, and verification of the required system performance of SDP is an essential step in development. Moreover, the quantitative evaluation of target tracking accuracy is important for newly developed SDP, since there are several tracking methods for Multi-Sensor Multi-Target Tracking, such as MRT(Multi Radar Tracking), inevitably required as the main function of SDP. In this study, definition of required system performances, establishment of test environment, and test results for MRT performance evaluation of SDP, which is being developed in KARI(Korea Airspace Research Institute) are presented.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2020.11a
• /
• pp.52-53
• /
• 2020

자율운항선박의 효과적인 운영을 위해서는 자선 주변 해상 환경의 장애물 및 자선, 타선에 대한 통합적인 상황인식 정보가 요구된다. 상황인식은 현재의 시점에서 관측되는 정보를 바탕으로 운항 해역에 대한 종합적인 인식과 함께 가까운 미래에서 발생할 수 있는 위험 상황 및 비정상 상황에 대한 추론까지를 포함한다. 본 연구에서는 이러한 자율운항선박의 원격 상황인식을 위한 기초연구로써, 선박자동식별시스템 AIS의 항적 정보 분석에 대한 내용을 수행한다. AIS에서 얻어지는 항적 정보를 이용한 해상 상황인식을 수행하기 위한 전처리 과정으로써, 손실 데이터에 대한 보간 방법에 대한 연구를 수행한다. 구체적인 방법론은, 추적필터를 이용한 보간 방법과 항적 정보 학습 기반의 보간 방법을 적용하였으며, AIS에서 얻어지는 실제 항적 데이터를 이용하여 초기 결과를 검증하였다.

• The Journal of the Acoustical Society of Korea
• /
• v.29 no.3
• /
• pp.155-164
• /
• 2010

This paper proposes a robust detection method for ship wake search using two wake sensors. A long trailing wake in the rear of a surface ship is generated along the track of surface ships. In this paper, we assume that the nearer the surface ship, the stronger wake strength is and a two-sensor based wake homing torpedo can sense for the wake strength. On this assumption we propose a simple wake detection and search method using information of wake strength. Experimental results using monte-carlo simulation demonstrate that the proposed method yields better performance in search time than previous method, which uses a single sensor. Our method is shown faster by about 45 seconds than previous method to achieve the same performance. Also, it can improve the detection performance of torpedo in the case of short wake length.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.11a
• /
• pp.227-228
• /
• 2022

위치기반 등부표 관리 기술 개발 연구는 AIS 또는 RTU가 설치된 등부표에 대한 이탈 위험 인지, 항해안전 사고 예방 등 안전대책 강화를 위해 연구하는 것이다. 등부표는 조류, 바람 등 외력에 의해 이출거리가 발생하여 선회반경이 형성되고 이러한 외력으로 인하여 유실, 위치이동 등이 발생할 수 있고 선박추돌 등 항해안전 사고도 발생할 수 있다. 이러한 등부표 사고는 물적 피해비용과 더불어 기능 정지 등으로 인하여 이용자의 안전운항에 대한 심리적 부담감 또는 위험감수 등의 추가적인 행정소요 비용이 발생할 수 있다. 또한 선박추돌 의심 사고 발생시 가해 선박 확인은 현 관리운영시스템상 등부표 및 선박항적을 확인할 수 있는 기능이 없어 대부분의 관리자들은 해경 및 VTS센터에 의뢰하여 식별 해야한다. 이와같이 등부표 사고가 발생하면 항해안전 위험, 행정소요 비용 발생 등 관리자 및 이용자들에게 많은 불편을 초래한다. 따라서 등부표가 고시된 위치에 정위치 여부를 모니터링할 수 있는 안전반경 정보와 선박추돌사고 예방 및 사고발생시 등부표 항적과 선박항적을 확인할 수 있는 기능 등 등부표 위치를 기반으로하는 체계적인 관리가 필요하여 관리 기술 개발 연구를 하였다.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.12 no.1
• /
• pp.8-17
• /
• 2009

This paper proposes robust ship wake search method in the target evasion environment. Moving surface ships generate a long trailing wake in the rear of a surface ship. Wake homing torpedo sensing this wake can detect the surface target and engage it automatically. In wake homing torpedo, wake search method is important element to maximize effectiveness of wake homing torpedo. This paper proposes one-side, two-side and centering mode according to passing wake boundary scenarios. Also, wake deflection angle is deduced by using the principle of deflection angle of acoustic torpedo. The representative experimental results using monte-carlo simulation demonstrate that the searching method using one-side mode is superior to two-side and centering mode in the target evasion environment.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.11 no.6
• /
• pp.38-46
• /
• 2008

A distributed system for tracking multiple targets with a pair of multifunction radars is proposed and implemented. The system performs track-to-track association and track-to-track fusion at the fusion center to form fused tracks. The association and fusion are performed using target state information linked via communication nodes from a radar at a remote location. Many factors can affect the track-to-track association and fusion performances. They include delays in data transmission buffer of the remote radar, the error in estimating time-stamp of the remote radar, and the gating in track-to-track association. The effects on association and fusion performances due to these factors are investigated through extensive numerical simulations.

• The KIPS Transactions:PartD
• /
• v.13D no.2 s.105
• /
• pp.175-182
• /
• 2006

Radars are used to detect the motion of the low flying enemy planes in the military. Radar-detected raw data are first processed and then inserted into the ground tactical C4I system. Next, these data we analyzed and broadcasted to the Shooter system in real time. But the accuracy of information and time spent on the displaying and graphical computation are dependent on the operator's capability. In this paper, we propose the Flying Object Tracking Management System that allows the displaying of the objects' trails in real time by using data received from the radars. We apply the coordinate system translation algorithm, existing communication protocol improvements with communication equipment, and signal and information computation process. Especially, radar signal duplication computation and synchronization algorithm is developed to display the objects' coordinates and thus we can improve the Tactical Air control system's reliability, efficiency, and easy-of-usage.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.11 no.1
• /
• pp.85-92
• /
• 2008

An architecture for multiple radar tracking systems can be broadly categorized according to the methods in which the tracking functions are performed : central-level tracking and distributed tracking. In the central-level tracking, target tracking is performed using observations from all radar systems. This architecture provides optimal solution to target tracking. In distributed tracking, tracking is performed at each radar system and the composite track information is formed through track fusion integrating multiple radar-level tracks. Track-to-track fusion and track-to-track association are required to perform in this architecture. In this paper, issues and recent research on the two tracking architectures are surveyed.

• Journal of the Korea Institute of Construction Safety
• /
• v.2 no.1
• /
• pp.36-44
• /
• 2019

$21^{st}$ century is digitally civilized era. Technologies such as AI, Iot, Big Data, Mobile and etc makes this era digitally advanced. These advancement of the technology greatly impacted detection range of the radar. Human's eye sight can see about 20Km and hear 20 ~ 20000 Hz. These limitations can be overcome using radar. This radar technology is used in military, aircraft, ship, vehicle and etc. to replace human eye. However, radar technology is capable of making False Alarm Rate. This document will propose the fix of these problems. Radar's distortion includes beam refraction, diffraction and reflection. These inaccurate data result in deterioration of human judgements and my cause various casualties and damages. Radar goes through annual testing to test how many false alarm is being produced. Normal radar usually makes 10 to 20 False alarms. In emergency situation, if operator were to follow this false alarm, this might result in following false object or take 12 more seconds to follow the right object. This problem can be overcome by using different radar data from different places and angles. This helps reduces False Alarm rate and track the object twice as fast.