• Title/Summary/Keyword: 해상 표적

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A Study on Target Selection from Seeker Image of Aerial Vehicle in Sea Environment (해상 탐지 영상에서의 비행체 표적 선정에 관한 연구)

  • Kim, Ki-Bum;Baek, In-Hye;Kwon, Ki-Jeong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.5
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    • pp.708-716
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    • 2017
  • We deal with the target selection in seeker-detection image through network, using the detection information from aerial vehicle and the target information from surveillance and reconnaissance system. Especially, we constrain the sea battle environment, where it is difficult to perform scene-matching rather than land. In this paper, we suggest the target selection algorithm based on the confidence estimation with respect to distance and size. In detail, we propose the generation method of reference point for distance evaluation, and we investigate the effect of pixel margin and target course for size evaluation. Finally, the proposed algorithm is simulated and analyzed through several scenarios.

워게임 모형의 C41 기능통합 및 연동화 시뮬레이션 기법

  • 문형곤;박찬우
    • Proceedings of the Korea Society for Simulation Conference
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    • 2000.04a
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    • pp.153-153
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    • 2000
  • 최근 선진국들은 신규 워게임모형 개발시 장차전 개념을 반영하기 위하여 미래전자의 주요기능인 C4ISR 및 객체지향 기법을 적용하려고 노력하고 있다. 이러한 워게임 모형들은 현실과 같은 가상환경에서 합동작전을 모의할 수 있으며 전략, 작전 및 전술 수준을 모두 고려할 수 있고 지상전, 공중전, 해상전, 미사일전, 정보전 등 현대 전투개념을 모두 반영할 수 있도록 초대형 시뮬레이션 시스템으로 발전되고 있다. 본 고에서는 C4I 기능통합 및 연동화 모의 논리중에서 전략기동, 전술기동, 교전평가, 전략수송, 표적탐색, 미사일 판정을 위한 모의 기법과 초대형 시뮬레이션 시스템의 자료/명령 전달 구조 및 하드웨어/소프트웨어 사양, 구성 모듈등을 분석한다. 특히 현재 미 합참에서 개발중인 JWARS모형의 주요 객체들인 전투공간개체(BSE: Battle Space Entity), 아크-노드 네트워크, 화력 집중점(FCPs: Fire Concentration Points) 등을 살펴보고 현대전의 가장 큰 특징인 C4ISR/(Command, Control, Communication, Computer, Intelligence, Surveillance, Reconnaissance) 분야에서 표적탐지, 통신, 정보 모의 기법을 분석함으로써, 향후 한국적 여건에 적합한 분석모형 개발 방향을 제시하고자 한다.

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The Cost Optimization Solution for Developing the Image Infra-Red (IIR) Missile Seeker Operated Under Various Environments (정밀 유도무기용 적외선 영상탐색기의 운용환경에 따른 성능대비 개발비용 최적화 연구)

  • Kim, Ho-Yong;Kang, Seok-Joong;Jhee, Ho-Jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.4
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    • pp.365-373
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    • 2019
  • An Image Infra-Red(IIR) seeker is widely used for precision guided munitions to provide intelligent and precise target detection in terms of high kill probability. However, there have been issues in determining the performance versus cost trade-offs due to high cost of seeker comparing to other units of the munitions. In this paper, performance/cost evaluations have been carried out to find the most cost-effective solution for developing the IIR seekers. The relationships between the critical parameters and cost are investigated to determine the optimal point which represents the low cost with high performance. It is expected that the presented approach will be able to be used for guidelines to select the appropriate IIR seeker for the given operating conditions and can be useful to estimate the cost effectiveness of the precision guided munitions at early design stage.

Performance Improvement for 2-D Scattering Center Extraction and ISAR Image Formation for a Target in Radar Target Recognition (레이다 표적 인식에서 표적에 대한 2차원 산란점 추출 및 ISAR 영상 형성에 대한 성능 개선)

  • Shin, Seung-Yong;Lim, Ho;Myung, Noh-Hoon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.18 no.8
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    • pp.984-996
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    • 2007
  • This paper presents techniques of 2-D scattering center extraction and 2-B ISAR(Inverse SAR) image formation for scattering wave which is scattered by a target. In general, 2-D IFFT is widely used to obtain 2-D scattering center and ISAR image of targets. But, this method has drawbacks, that is poor in a resolution aspect. To overcome these shortcomings with the FT(Fourier Transform)-based method, various techniques of high resolution signal processing were developed. In this paper, algorithms of 2-D scattering center extraction and ISAR image formation such as 2-D MEMP(Matrix Enhancement and Matrix Pencil), 2-D ESPRIT(Estimation of Signal Parameter via Rotational Invariance Techniques) are described. In order to show the performances of each algorithm, we use scattering wave of the ideal point scatterers and F-18 aircraft to estimate 2-D scattering center and abtain 2-D ISAR image.

Estimation algorithm of ocean surface temperature flow based on Morphological Operation (형태학적 연산에 기반한 해수면 온도 분포 추정 알고리즘)

  • Gu, Eun-Hye;Cho, Woong-Ho;Park, Kil-Houm
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.2
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    • pp.253-260
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    • 2012
  • Target detection is very difficult with complex clutters in IRST(Infrared Search and Track) system for a long distance target. Especially sea-clutter and ocean-surface with non-uniform temperature distribution make it difficult to detect incoming targets in images obtained in sea environment. In this paper, we propose a novel method based on morphological method for estimation of ocean surface with non-uniform temperature flow. In order to estimate the exact ocean surface temperature flow, we divided it into upper and lower bound flow. And after estimating it, the final ocean surface temperature flow is derived by a mean value of the estimated results. Also, we apply the multi-weighted technique with a variety of sizes of structure elements to overcome sub-sampling effect by using morphology method. Experimental results for ocean surface images acquired from many different environments are compared with results of existing method to verify the performance of the proposed methods.

Infrared Image Segmentation by Extracting and Merging Region of Interest (관심영역 추출과 통합에 의한 적외선 영상 분할)

  • Yeom, Seokwon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.6
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    • pp.493-497
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    • 2016
  • Infrared (IR) imaging is capable of detecting targets that are not visible at night, thus it has been widely used for the security and defense system. However, the quality of the IR image is often degraded by low resolution and noise corruption. This paper addresses target segmentation with the IR image. Multiple regions of interest (ROI) are extracted by the multi-level segmentation and targets are segmented from the individual ROI. Each level of the multi-level segmentation is composed of a k-means clustering algorithm an expectation-maximization (EM) algorithm, and a decision process. The k-means clustering algorithm initializes the parameters of the Gaussian mixture model (GMM) and the EM algorithm iteratively estimates those parameters. Each pixel is assigned to one of clusters during the decision. This paper proposes the selection and the merging of the extracted ROIs. ROI regions are selectively merged in order to include the overlapped ROI windows. In the experiments, the proposed method is tested on an IR image capturing two pedestrians at night. The performance is compared with conventional methods showing that the proposed method outperforms others.

Real-Time Implementation of Active Classification Using Cumulative Processing (누적처리기법을 이용한 능동표적식별 시스템의 실시간 구현)

  • Park, Gyu-Tae;Bae, Eun-Hyon;Lee, Kyun-Kyung
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.2
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    • pp.87-94
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    • 2007
  • In active sonar system, aspect angle and length of a target can be estimated by calculating the cross-correlation between left and right split-beams of a LFM(Linear Frequency Modulated) signal. However, high-resolution performances in bearing and range are required to estimate the information of a remote target. Because a certain higher sampling frequency than the Nyquist sampling frequency is required in this performance, an over-sampling process through interpolation method should be required. However, real-time implementation of split-beam processing with over-sampled split-beam outputs on a COTS(commercial off-the-shelf) DSP platform limits its performance because of given throughput and memory capacity. This paper proposes a cumulative processing algorithm for split-beam processing to solve the problems. The performance of the proposed method was verified through some simulation tests. Also, the proposed method was implemented as a real-time system using an ADSP-TS101.

Wideband Chirp Waveform Design for High Range Resolution Radar Imaging (고해상도 영상 레이다의 광대역 첩 신호 파형 설계)

  • 곽영길;조호신
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.40 no.1
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    • pp.1-7
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    • 2003
  • A recent technology trends in synthetic aperture radar(SAR) requires the ultra high resolution performance in detecting and precisely identifying the targets. In this paper, as a technique for enhancing the radar range resolution, the wideband chirp connection algorithm is presented by stitching the several chirp modules with unit bandwidth based on the linear frequency modulated chirp signal waveform. The principles of the digital chirp signal generation and its architecture for implementation is briefly described, and the wideband chirp signal generator, modulator, and demodulator are designed. The performance analysis for the presented algorithm is given with the simulation results.

Numerical Analysis on the Effect of Long-crested Wave to the RCS of Marine Target (장파봉파가 해상표적의 RCS에 미치는 영향에 대한 수치해석)

  • Kim, Kook-Hyun;Cho, Dae-Seung;Kim, Jin-Hyeong;Lee, Jeong-Kwan
    • Journal of the Society of Naval Architects of Korea
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    • v.43 no.3 s.147
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    • pp.384-391
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    • 2006
  • RCS effects of long-crested wave surfaces to marine targets are numerically analyzed using a 4-path model and a direct analysis method, developed based on physical optics and a combined method of physical optics/geometric optics, respectively. Reflectivity of long-crested wave surfaces is described with 'Fresnel reflection coefficients' The MPM(modified Pierson-Moskowitz) ocean spectrum is adopted to simulate long-crested waves in the direct analysis method. A numerical analysis of a benchmark model assures the validity of both methods. The direct analysis method is applied to the RCS calculation of electromagnetically large marine targets, which are vertically oriented or slanted to the long crested wave surfaces randomly generated with various significant wave heights. The long-crested wave surface much highly increases the RCS of the marine target, but those effects are decreased as the significant wave height grows up. At low elevation angle, the vertical model has entirely high RCS comparing slanted model, and the RCS of vertical flat plate is the highest on the calm sea surface, while those of slanted flat plates are the lowest on the calm sea surface. The RCS of marine targets on continuously-varying sea surface is more coherent at lower elevation angles, as well.

Pulse Integration Technique for VTS Application (VTS 적용을 위한 펄스 적분 기법)

  • Park, Dong-Hwa;Jeong, Se-Young;Choi, Kwan-Beum;Kim, Byung-Doo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.7
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    • pp.521-527
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    • 2014
  • Most of Sea Surveillance Radar(SSR)s which are used in Vessel Traffic Service are Magnetron-based Non-Coherent Method and use the pulse integration technique having a signal to noise ratio enhancement function to satisfy a surveillance performance about target. Especially, Pulse Integration technique has an effect on target serveillance performance through signal to noise ratio, in addition, has an effect to improve a signal interference and noise spike. In this paper, we have a simulation experiment by using MATLAB simulation tool for appling a pulse integration technique in VTS system using a Non-Coherent radar, and verify an optimum pulse integration technique through out performance analysis between frequently use pulse integration techniques.