• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.8B
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• pp.1593-1600
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• 1999

This paper describes the acquisition modeling of an airborne target for target tracking simulation of infrared homing missiles. The modeling, of which key technologies are the sub-modeling for target infrared signature, atmospheric transmission, and receiver characteristics, shows the acquisition process of an airborne target under various tracking conditions determined by line-of-sight, distance, and atmospheric conditions. We confirm the validity of the modeling by applying it to simulations concerned with target tracking. The modeling gives a guideline to determine an optimum detector and a defection band for effective discrimination of the target among false targets.

• Journal of KIISE
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• v.44 no.4
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• pp.411-416
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• 2017

The spectral radiance received by an infrared (IR) sensor is mainly influenced by the surface temperature of the target itself. Therefore, the precise temperature prediction is important for generating an IR target image. In this paper, we implement the combined three-dimensional surface temperature prediction module against target attitudes, environments and properties of a material for generating a realistic IR signal. In order to verify the calculated surface temperature, we are using the well-known IR signature analysis software, OKTAL-SE and compare the result with that. In addition, IR signal modeling is performed using the result of the surface temperature through coupling with OKTAL-SE.

• Journal of the Korea Society of Computer and Information
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• v.9 no.1
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• pp.63-70
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• 2004

This paper describes modeling, design and performance test results of infrared thermal image target system which can generate infrared thermal image on aircraft. The system is designed to control image shape and intensity so that the infrared image shape and its emitting intensity are so similar to that of real aircraft. When applying the technique suggested in this paper, the system consumes only small electric power energy about 30(㎾) to generate infrared thermal image which is equivalent to that of real aircraft under full power operation. After verifying performance test, the system developed here has been used as a target for korean potable surface to air missile(KPSAM) at the stage of evaluation test such as target adaptive guidance test and auto-pilot logic test.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2603-2605
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• 2004

적외선 영상 시뮬레이션 시스템(IIRSS : Imaging Infrared Simulation System)은 적외선 영상 센서를 탑재한 유도무기체계의 종말 호밍 단계에서의 체계 유도조종 성능 및 기능을 시험평가하기 위한 목적으로 연구 개발되었다. 적외선 영상 시뮬레이션 시스템은 체계성능을 단계적이고 종합적인 시험평가를 위하여 표적 주위 환경에 대하여 사실적이고, 동적인 실시간 시뮬레이션 환경이 제공되어야한다. 시뮬레이터 개발에 있어서 주요 관련 기술은 지형, 지물에 대한 3차원 모델링, 대기투과효과 모델링 및 합성된 적외선 영상의 실시간 렌더링 기술 등이다. 본 논문에서는 적외선 센서 시뮬레이션의 방법으로써 HILS(Hardware-in-The-Loop Simulation)를 위한 시뮬레이터 구성, 적외선 영상 생성을 위한 도구와 절차 및 시뮬레이션 방안에 대하여 기술한다.

• Journal of the Korea Society of Computer and Information
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• v.20 no.4
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• pp.57-67
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• 2015

The concept of detection and classification of objects based on infrared camera is widely applied to military applications. While the object detection technology using infrared images has long been researched and the latest one can detect the object in sub-pixel, the object classification technology still needs more research. In this paper, we present object classification method based on measured radiant intensity of objects such as target, artillery, and missile using infrared camera. The suggested classification method was verified by radiant intensity measuring experiment using black body. Also, possible measuring errors were compensated by modelling-based correction for accurate radiant intensity measure. After measuring radiation of object, the model of radiant intensity is standardized based on theoretical background. Based on this research, the standardized model can be applied to the object classification by comparing with the actual measured radiant intensity of target, artillery, and missile.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.4
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• pp.62-70
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• 2012

In this paper, we propose the gunnery detection method based on reference frame modeling and frame difference method. The frame difference method is basic method in target detection, and it's applicable to the detection of moving targets. The goal of proposed method is the detection of gunnery target which has huge variation of energy and size in the time domain. So, proposed method is based on frame difference, and it guarantee real-time processing and high detection performance. In the method of frame difference, it's important to generate reference frame. In the proposed method, reference frame is modeled and updated in real time processing using statistical values for each pixels. We performed the simulation on 73 IR video data that has gunnery targets, and the experimental results showed that the proposed method has 95.7% detection ratio under condition that false alarm is 1 per hour.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.11
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• pp.166-175
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• 1998

The previous simulation models of infra-red (IR) reticle seekers were performed in a static situation. However, in this paper, we develop a new simulation tool which is applicable in various cases, and propose an efficient counter-countermeasure (CCM) in the presence of countermeasures (CM) such as flares. The developed tool analyzes performance of rotating Lovell reticle seeker, and gives tracking performances in various scenarios. The simulation results show that our counter-countermeasure algorithm makes an efficient target tracking in the presence of flares.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.10
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• pp.209-216
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• 2012

In this paper, we propose a novel tracking method which uses image features consisted of the area, average intensity, aspect ratio of a target image for the real-time IR surveillance system. The image features of the ground target can be modeled as a random process with exponential autocorrelation function mathematically. Finally, we derived a discrete target dynamic equation including kinematic states and geometric states of the target. Simulation results shows that the performance of the proposed method is better than that of the previous tracking method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.12A
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• pp.1990-1999
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• 2001

This paper presents a dynamic simulation loop that gives tracking results of 2-color concentric annular ring (CAR) reticle seeker. Our simulation tool includes the target/flare model and a proportional navigation guidance (PNG) loop. The CAR reticle system performances and the flare effects are analyzed in various scenarios. When a flare is present in the field of view (FOV), the simulation results show that the reticle seeker cannot keep a precise target tracking. In this paper, we propose 2-color counter-countermeasure (CCM) using the least mean square (LMS) method to cope with a presence of IR flare. The proposed method makes a simultaneous process in two infrared (IR) wavelength bands: MWIR add SWIR. The simulation results have shown that our adaptive IRCCM algorithm can achieve an effective cancellation of the flare signal with a relatively high intensity.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.12
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• pp.3165-3173
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• 1996

The existing modeling of infrared reticle seekers is perfored in a static sitic situation. Inthis paper, we develop the dynamic simulator of the reticle seekers and propose an efficient signal processing algorithm in multiple targets, especially flares. the developed simuator is essential to analyze the performance of the infrared reticle seekers in various conditions and study effective signal procesing techniques. Simulations show that the proposed counter-countermeasure algorithm is simple and efficient.