• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.4
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• pp.398-414
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• 1992

For designing the radar integrated data network, we construct the network structure with a spatial hierarchy decomposition scheme. The RIDN can be decomposed into several subnet classes, those of which are composed of the several group classes of radar sits, In a group class, the communication nodes of a radar site are modeled by the software modules formulated with the statistical attributes of discrete events. And we get the analysis over the network through the separately constructed infra group level models which were coded with the C language. After constructing the local area network with these infra models through the proper data links. We got the analysis of the communication performance of inner models and the global network.

• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.6
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• pp.38-46
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• 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 Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.1
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• pp.70-78
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• 2019

In this paper, modeling of a high-resolution multi-function radar is proposed to simulate radar performance in a war game simulator, called AddSIM. To incorporate the multi-function radar model into the AddSIM, the modeling must comprise a component-based structure consisting of physics, logics, and information blocks. Therefore, we assign the RF hardware of a RADAR as the physic block, a controller as the logics block, and the RF specifications of the RADAR as the information block. Detailed modeling of the physics and logics blocks are addressed, and data structure is also presented on an engineering level. On a multi-target engaged scenario, the performance of the multi-function radar is numerically analyzed and its validation is examined.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.933-936
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• 2005

본 연구에서는, 수문해석모형과 국산 GIS 엔진인 HyGIS와 직접연계를 통해 자료수집 분석, 모의수행 및 결과도시를 일괄적으로 수행될 수 있도록 GIS-수문통합모형을 개발하였다. GIS 기반 수문모형의 자동화를 위해 유역 추출, 하도망 생성, 유출 매개변수의 산정 및 수문모형 진행을 필요한 모든 과정들에 대해서 사용자 인터페이스를 구축하고, 강우자료, 레이다/위성자료, 설계강우 조건으로부터 NGIS를 활용한 수문분석을 위한 NGIS자료의 표준화 과정을 제시하였다. 수문해석을 위한 유역추적방법에는 Clark, SCS, Snyder 방법, 하도추적방법에는 Muskingum, Muskingum-Cunge 방법 등과 같은 실제 실무분야에서 많이 이용되는 방법들이 이용 가능하도록 구성하였다. 수문모형과 NGIS DB와의 Interface 기능을 활용하여 국내 실무분야에 적용함에 있어 편의성과 실용성을 갖춘 모형을 개발을 통해, 수문모형 구축 시 NGIS 자료 및 지형 DB의 표준화 과정을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.661-662
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• 2016

컴퓨터비전의 한 분야인 추적은 다양한 방법론들에 근거하여 활발히 연구되어온 분야이다. 추적알고리즘은 연속되는 영상 시퀀스의 객체를 지속적으로 추적하는 방법으로, 객체의 외형 변형, 이동, 회전, 폐색등 복잡한 환경에서도 강건히 추적하는 것에 초점이 맞춰져 있다. 본 논문에서는 딥러닝의 한 부류인 CNN의 컨볼루션 레이어에서 출력되는 특징맵과 변화되는 객체에 적응적으로 대응하는 코릴레이션 필터를 결합하여 복잡한 환경에서도 객체를 추적하는 방법을 제안한다.

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

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.892-895
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• 2018

본 논문에서는 키넥트(kinect)의 인체 추적 기능을 사용하여 다중 레이어 기능을 제공하는 제스처 인식 기반 드로잉 시스템을 설계 구현하였다. 제안된 드로잉 시스템은 제스처를 통해 자유롭게 그림을 그릴 수 있는 시스템으로 그림을 그리는 붓의 굵기 선택, 지우개를 이용한 그림 지우기, 사물을 이용한 물감색 선택, 템플릿을 이용한 그림그리기 등을 수행하는 다양한 제스처가 정의 되어 있고, 제스처를 이용하여 화면에 자유롭게 그림을 그릴 수 있도록 함으로써 사용자의 몰입감과 흥미를 높일 수 있도록 설계 구현되었다. 제안 시스템은 원하는 템플릿을 이용하여 색칠하기를 수행하는 템플릿 기반 드로잉 레이어와 템플릿 없이 자유롭게 그림을 그리는 프리 드로잉 레이어를 지원함으로써 다양한 그림 그리기가 가능하도록 구현되었다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.4
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• pp.404-413
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• 2015

The target classification for ballistic target(BT) is one of the most critical issues of ballistic defence mode(BDM) in multi-function radar(MFR). Radar responds to the target according to the result of classifying BT and air breathing target(ABT) on BDM. Since the efficiency and accuracy of the classification is closely related to the capacity of the response to the ballistic missile offense, effective and accurate classification scheme is necessary. Generally, JEM(Jet Engine Modulation), HRR(High Range Resolution) and ISAR(Inverse Synthetic Array Radar) image are used for a target classification, which require specific radar waveform, data base and algorithms. In this paper, the classification method that is applicable to a MFR system in a real environment without specific waveform is proposed. The proposed classifier adopts kinematic data as a feature vector to save radar resources at the radar time and hardware point of view and is implemented by fuzzy logic of which simple implementation makes it possible to apply to the real environment. The performance of the proposed method is verified through measured data of the aircraft and simulated data of the ballistic missile.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.6
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• pp.1-10
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• 2019

This paper proposes a method to improve the detectable distance by reducing noise to perform a signal processing technique on the received signals. To increase the radar detection range, the noise component of the received signal has to be reduced. The proposed method reduces the noise component by employing two methods. First, the radar signals received with multiple pulses are accumulated. As the number of additions increases, the noise component gradually decreases due to noise randomness. On the other hand, the signal term gradually increases and thus signal to noise ratio increases. Secondly, after converting the accumulated signal into the frequency spectrum, a Least Mean Square (LMS) filter is applied. In the case of the radar received signal, desired signal exists in a specific part and most of the rest is a noise. Therefore, if the LMS filter is applied in the time domain, the noise increases. To prevent this, the LMS filter is applied after converting the received signal into the entire frequency spectrum. The LMS filter output is then transformed into the time domain and then range estimation algorithm is performed. Simulation results show that the proposed scheme reduces the noise component by about 25 dB. The experiment was conducted by comparing the proposed results with the conventional results of the radars held by the Korea Aerospace Research Institute for the international space station.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.27 no.6
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• pp.531-538
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• 2016

In this paper, we design and fabricate a short range FMCW radar which detects and tracks a moving target in a two-dimensional domain using dual transceiver modules. For the short range radar, we propose a scheme for alternate extraction of the two-dimensional positions using one-dimensional range information from time division transceiver modules, and successfully apply the scheme to the two-dimensional short range radar. Measured results of the targets at 10 m and 30 m are presented as performance demonstration of each transceiver module. Also the performance of the two-dimensional radar is demonstrated using a two-dimensional target map, which uses the range bin corresponding to the frequency resolution, and the effectiveness of the proposed scheme is validated.