• Title/Summary/Keyword: Infrared Seeker

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Passive homing performance improvement in the terminal engagement phase (종말단계에서의 수동호밍 성능개선연구)

  • 송택렬
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.351-354
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    • 1996
  • A new target adaptive guidance (TAG) algorithm is proposed to engage the aim point formed by adding a bias to the information from an infrared (IR) seeker for improving passive homing guidance effectiveness. The TAG algorithm utilizes an observability enhancing mid-course guidance algorithm to obtain convergent estimates of state variables involved particularly in range channel otherwise unavailable from passive sensors. Simulation results indicate that the TAG algorithm provides improved terminal effectiveness without computational complexities.

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Automatic target-recognition technique using a neural network (신경회로망을 이용한 표적의 자동인식 기법)

  • Tahk, Min-Je;Rew, hyuk;Yoo, Inn-Eark;Lee, Won-Sang
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.430-435
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    • 1992
  • This paper presents a real-time algorithm for an infrared seeker to find the real target automatically against various background noises without changing the reticle configuration. The modeling technique of infrared sources and analysis results of the various source types based on the FFT algorithm are included. Futhermore, a neural network is used to recognize the source type using the results of FFT analysis. The evaluation of target recognition for cases which can happen in real situation is also treated.

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Two-color Counter-countermeasure for the Crossed Array Tracker

  • Lee, S.H.;Oh, J.S.;Doo, K.S.;Seo, D.S.;Choi, J.S.
    • Proceedings of the IEEK Conference
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    • 2000.07b
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    • pp.1059-1062
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    • 2000
  • Infrared (IR) seeker identifies the location of a target by detecting the infrared energy radiated from the target, and enables the missile to track the target. To improve the tracking performance, a counter- countermeasure (CCM) is essential to minimize the effect of the countermeasure (CM), which is operated by a target to protect itself. In this paper, we propose a crossed array tracker (CAT) using two-color CCM algorithm. The CAT using the proposed algorithm shows better tracking performance by minimizing the effect of CM.

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A study on the datalink Interface between fighter jet RADAR and BVR AA guided missile (전투기 레이다의 시계 외 중거리 공대공 유도탄 데이터링크 연동방안 연구)

  • Yong-min Kim
    • Journal of Advanced Navigation Technology
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    • v.27 no.4
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    • pp.453-456
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    • 2023
  • Fighter jets employ guided missiles equipped with seekers to counter enemy air threats. Short range guided missiles(SRM) usually carry infrared(IR) seekers and are used to engage targets within visual range. On the other hand, medium range guided missiles(MRM) often utilize radio frequency(RF) seekers to engage targets beyond visual range. Medium range guided missiles do not activate their seekers until they reach the detection range of the seeker, and the aircraft's radar guides them for a certain distance. This guidance method is called Missile Data Link(MDL), and it can be implemented in either one-way or two-way communication modes, depending on the missile's communication system. In this paper, we discuss MDL based on these two communication modes, along with the integration of RADAR, mission computers, and guided missiles.

A Study on Analysis of Infrared Rotating Lovell Reticle Seeker and an Efficient Counter-countermeasure Algorithm (적외선 회전 Lovell 레티클 탐색기의 성능 분석 및 효율적인 반대응 알고리즘에 대한 연구)

  • Kim, Sun-Kook;Han, Sung-Hyun;Hong, Hyun-Ki;Choi, Jong-Soo
    • 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.

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Electromagnetic Susceptibilty design of High-Speed Image Signal Processing Unit for Small Infrared Image Homing sensor (적외선 영상 호밍센서 고속 영상신호처리기의 전자기파 내성 설계)

  • Kim, Hong-Rak;Park, Jin-Ho;Kim, Kyoung-Il;Jeon, Hyo-won;Shin, Jung-Sub
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.2
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    • pp.27-33
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    • 2022
  • The small infrared image homing sensor is the eye of a guided weapon that has an infrared image sensor that identifies a target on the ground through day and night infrared image processing and searches, detects, and tracks the target. Inside the guided weapon since the power supply and communication line are used together with various components, the part against electromagnetic wave interference is very important. In particular, the effect of CE (Conducted Emission) through the power and communication lines connected by cables is very important. Through this method, it is possible to directly affect other components of the guided weapon. In this paper, the EMI filter and cable design for avoiding electromagnetic interference to the power input through the cable and the communication line are described. Also, the designed EMI filter is manufactured After the CE102 test of MIL-STD-461G, design satisfaction will be explained.

A Study on the Static Target Accurate Size Estimation Algorithm with ARR-TSE (ARR-TSE 기반의 정지 표적 정밀 크기 추정기법 연구)

  • Jung, Yun Sik;Kim, Jin Hwan;Kim, Jang Eun
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.9
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    • pp.843-848
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    • 2015
  • In this paper, The ARR-TSE (Automatic Range Restore - Triangulation based target Size Estimator) algorithm is presented for IIR (Imaging Infrared) seeker. The target size is important information for the IIR target tracking. The TSE (Triangulation based target Size Estimator) algorithm has suitable performance to estimate target size for static IIR target. but, the performance of the algorithm can be decreased by noise. In order to decrease influence of noise, we propose the ARR-TSE algorithm. The performance of proposed method is tested at target intercept scenario. The simulation results show that the proposed algorithm has the accurate target size estimating performance.

Management Software Development of Hyper Spectral Image Data for Deep Learning Training (딥러닝 학습을 위한 초분광 영상 데이터 관리 소프트웨어 개발)

  • Lee, Da-Been;Kim, Hong-Rak;Park, Jin-Ho;Hwang, Seon-Jeong;Shin, Jeong-Seop
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.6
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    • pp.111-116
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    • 2021
  • The hyper-spectral image is data obtained by dividing the electromagnetic wave band in the infrared region into hundreds of wavelengths. It is used to find or classify objects in various fields. Recently, deep learning classification method has been attracting attention. In order to use hyper-spectral image data as deep learning training data, a processing technique is required compared to conventional visible light image data. To solve this problem, we developed a software that selects specific wavelength images from the hyper-spectral data cube and performs the ground truth task. We also developed software to manage data including environmental information. This paper describes the configuration and function of the software.

Development of the integrated management simulation system for the target correction (표적 수정이 가능한 사용자 개입 통합 관리 모의 시스템 개발)

  • Park, Woosung;Oh, TaeWon;Park, TaeHyun;Lee, YongWon;Kim, Kibum;Kwon, Kijeong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.45 no.7
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    • pp.600-609
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    • 2017
  • We designed a target management integration system that enables us to select the final target manually or automatically from seeker's sensor image. The integrated system was developed separately for the air vehicle system and the ground system. The air vehicle system simulates the motion dynamics and the sensor image of the air vehicle, and the ground system is composed of the target template image module and the ground control center module. The flight maneuver of the air vehicle is based on pseudo 6-degree of freedom motion equation and the proportional navigation guidance. The sensor image module was developed using the known infrared(IR) image rendering method, and was verified by comparing the rendered image to that of a commercial software. The ground control center module includes an user interface that can display as much information to meet user needs. Finally, we verified the integrated system with simulated impact target mission of the air vehicle, by confirming the final target change and the shot down result of the user's intervention.