• Title/Summary/Keyword: 표적기술

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소부대 전술 $C^4I$ 능력 향상 방안

  • Yang, Byeong-Hui
    • Defense and Technology
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    • no.2 s.288
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    • pp.50-59
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    • 2003
  • 전술$C^4I$체계가 전력화되어 작전반응이 더욱 빨라지고 획득한 정보가 필요한 부서와 제대에 모두 공유되고, 부대의 각종 자산을 충분히 활용 가능하며, 전장상황의 인식이 더욱 용이해지게 된다. 또한 전술$C^4I$체계 구축을 통해 미래 지상전장 운용개념인 "다차원 동시 통합전투"가 비로소 가능해진다. 이런 직접적인 효과 이외에도 군의 과학화 마인드를 확산시키며, 민간의 선진기술이 군에 적용되는 간접적인 효과가 있을 것이다. 우리 군이 현재 미래 전장환경과 주변국 위협에 대비하여 장거리 타격수단에 표적을 제공하기 위한 대부대용 UAV를 전력화하여 전천후 감시로 실시간 장거리 영상정보를 수집하고 있는 것은 획기적인 사실이다.

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Ship Radiated Noise Measurement, Analysis and Prediction (선박 방사소음의 측정, 분석 및 예측)

  • 윤종락;김천덕;하강열
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1997.04a
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    • pp.524-532
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    • 1997
  • 수중음향표적 특히 선박방사소음을 탐지하거나 식별하는 군사적 목적의 수동소나는 수중청음기 배열로 구성되며 각 배열센서에 수신된 신호에 배열 신호처리기술을 적용하여 선박의 거리, 방위 탐지는 물론 선박의 음향적 특징을 식별하는 고도의 음향장치이다. 그러나 이러한 장치운용자의 선박탐지, 식별이나 새로운 수동소나 개발, 나아가 스텔스 능력의 선박 설계를 위해서는 선박방사소음의 측정, 분석 및 예측에 관한 이해가 선행되어야 할 것이다. 본 연구는 대표적인 선박방사소음 측정시스템의 소개, 방사소음발생기구, 측정자료의 분석 및 예측에 관한 기초기술을 연구 분석한 내용이다.

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주력전차급 자동장전장치의 기술현황 및 발전전망(2)

  • Jeong, Sang-Cheol
    • Defense and Technology
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    • no.5 s.267
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    • pp.34-41
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    • 2001
  • 자동장전장치를 적용하면서 얻게 되는 중요한 장점은 발사속도의 향상이다. 전차에서의 발사속도는 중구경화기나 자주포와 같은 최대발사성능보다는 초탄에 의한 표적파괴 실패시 후속탄의 신속한 재사격 능력이라는 관점이 더 중요하며, 자동장전장치는 이러한 측면에서 수동장전보다 장전속도를 증대시킬 수 있고 특히 기동간에도 정지시와 동일한 후속탄 장전성능을 보장해 줄 수 있다는 점에서 수동장전에 비해 커다란 전력증강 효과를 가져올 수 있다.

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주력전차급 자동장전장치의 기술현황 및 발전전망

  • Jeong, Sang-Cheol
    • Defense and Technology
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    • no.4 s.266
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    • pp.34-43
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    • 2001
  • 자동장전장치를 적용하면서 얻게 되는 중요한 장점은 발사속도의 향상이다. 전차에서의 발사속도는 중구경화기나 자주포와 같은 최대발사성능보다는 초탄에 의한 표적파괴 실패시 후속탄의 신속한 재사격 능력이라는 관점이 더 중요하며, 자동장전장치는 이러한 측면에서 수동장전보다 장전속도를 증대시킬 수 있고 특히 기동간에도 정지시와 동일한 후속탄 장전성능을 보장해 줄 수 있다는 점에서 수동장전에 비해 커다란 전력증강 효과를 가져올 수 있다.

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A Study on the technique of impact analysis against concrete target using Lagrangian and Smoothed Particle Hydrodynamics (라그란지안 기법과 입자완화동력학 기법을 이용한 콘크리트 표적 충돌해석 기법 연구)

  • 하동호
    • Journal of the Korea Institute of Military Science and Technology
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    • v.5 no.2
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    • pp.207-216
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    • 2002
  • In this paper, the study on the behavior of the deformation of brittle material, such as concrete, ceramic, was peformed by comparison of Lagrangian technique and Smoothed Particle Hydrodynamics using commercial nonlinear hydrodynamic numerical program, Autodyn_2D. The effect of SPH technique was proved by investigating the behavior of material deformation, velocity profile and pressure profile.

A study on the design of the transmitter-receiver of fuze sensor for discriminating target position (표적위치식별 신관센서 송수신장치 설계에 관한 연구)

  • 최재현
    • Journal of the Korea Institute of Military Science and Technology
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    • v.5 no.2
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    • pp.159-168
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    • 2002
  • In this paper, a study on the design of the transmitter-receiver of fuze sensor for discriminating target position is presented. We propose the algorithm for detecting target distance/direction through investigating the operational concept and principle of fuze sensor. Based on the algorithm, We design transmitter-receiver, calculate various design variables and estimate the performance of that one. The estimated result shows that the required performance of fuze sensor is satisfied. Further research on confirming the performance of proposed algorithm through encounter simulation test with real target and resolving problem will be continued.

The Study of a Suitable for TMA Filter Architecture for the Submarine with Multiple Sensors (다중센서 환경에서의 잠수함 표적기동분석에 적합한 필터구조 연구)

  • Lim, Young-Taek
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.4
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    • pp.404-409
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    • 2012
  • In order to detect and track target, submarine gather the target information(bearing, range, frequency and so on) with using multiple sensors. And submarine can estimate target states with target information. In this paper, we suggest the target motion analysis(TMA) filter architecture of submarine and the proposed TMA filter architecture is tested by a series of computer simulation runs and the results are analyzed and verified.

Analysis of Mission Statement of Social Welfare Centers (사회복지관의 조직 사명문 분석)

  • Kwon, Sun-ae;Kim, Sun-joo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.11
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    • pp.425-432
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    • 2017
  • The purpose of this study is to analyze mission statements of social welfare centers. For this, we collected mission statements of 385 social welfare centers nationwide. We analyzed data using the NVivo 10 program. Analysis results found the total number of collected words was 1,401. The number of words corresponding to the target of organizations was 448 (32.0%), the number of words corresponding to problems was 51 (3.6%), the number of words corresponding to the directionality 118 (8.4%), the number of words corresponding to strategy was 545 (38.9%), and the number of words corresponding to organization's image was 239 (17.1%). Second, the words of the intervention target were resident of community, local community and community. Intervention issues included community problems, poverty, and social isolation. The words of the organizational directivity included welfare community/village, social welfare, and empowerment. Words related to organizational strategy were formation/building, sharing/serving, and improvement/development/improvement. Words related to the organizational image included in the mission statements were the welfare center, we, the professional agency, and the neighbors. By analyzing the mission statements, we found that social welfare centers portrayed its identity based on 'locality'. The distribution of the words related to the community was high in both the target, target, and direction. The limitations of this study include the exclusion of analyzing the relationship between organizational mission and organizational performance. This should be considered in future studies.

High-resolution range and velocity estimation method based on generalized sinusoidal frequency modulation for high-speed underwater vehicle detection (고속 수중운동체 탐지를 위한 일반화된 사인파 주파수 변조 기반 고해상도 거리 및 속도 추정 기법)

  • Jinuk Park;Geunhwan Kim;Jongwon Seok;Jungpyo Hong
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.4
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    • pp.320-328
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    • 2023
  • Underwater active target detection is vital for defense systems, requiring accurate detection and estimation of distance and velocity. Sequential transmission is necessary at each beam angle, but divided pulse length leads to range ambiguity. Multi-frequency transmission results in time-bandwidth product losses when bandwidth is divided. To overcome these problem, we propose a novel method using Generalized Sinusoidal Frequency Modulation (GSFM) for rapid target detection, enabling low-correlation pulses between subpulses without bandwidth division. The proposed method allows for rapid updates of the distance and velocity of target by employing GSFM with minimized pulse length. To evaluate our method, we simulated an underwater environment with reverberation. In the simulation, a linear frequency modulation of 0.05 s caused an average distance estimation error of 50 % and a velocity estimation error of 103 % due to limited frequency band. In contrast, GSFM accurately and quickly tracked targets with distance and velocity estimation errors of 10 % and 14 %, respectively, even with pulses of the same length. Furthermore, GSFM provided approximate azimuth information by transmitting highly orthogonal subpulses for each azimuth.

Channel Attention Module in Convolutional Neural Network and Its Application to SAR Target Recognition Under Limited Angular Diversity Condition (합성곱 신경망의 Channel Attention 모듈 및 제한적인 각도 다양성 조건에서의 SAR 표적영상 식별로의 적용)

  • Park, Ji-Hoon;Seo, Seung-Mo;Yoo, Ji Hee
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.2
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    • pp.175-186
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    • 2021
  • In the field of automatic target recognition(ATR) with synthetic aperture radar(SAR) imagery, it is usually impractical to obtain SAR target images covering a full range of aspect views. When the database consists of SAR target images with limited angular diversity, it can lead to performance degradation of the SAR-ATR system. To address this problem, this paper proposes a deep learning-based method where channel attention modules(CAMs) are inserted to a convolutional neural network(CNN). Motivated by the idea of the squeeze-and-excitation(SE) network, the CAM is considered to help improve recognition performance by selectively emphasizing discriminative features and suppressing ones with less information. After testing various CAM types included in the ResNet18-type base network, the SE CAM and its modified forms are applied to SAR target recognition using MSTAR dataset with different reduction ratios in order to validate recognition performance improvement under the limited angular diversity condition.