• Title/Summary/Keyword: 표적기술

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Acquisition Modeling of an Airborne Target for IR Target Tracking Simulation (적외선 표적 추적 시뮬레이션을 위한 공중 표적 포착 모델링)

  • 오정수;두경수;장성갑;서동선;최종수
    • 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.

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Modeling and Analysis of Radar Target Signatures in the VHF-Band Using Fast Chirplet Decomposition (고속 Chirplet 분리기법을 이용한 VHF 대역 레이더 표적신호 모델링 및 해석)

  • Park, Ji-hoon;Kim, Si-ho;Chae, Dae-Young
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.4
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    • pp.475-483
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    • 2019
  • Although radar target signatures(RTS), such as range profiles have played an important role for target recognition in the X-band radar, they would be less effective when a target is designed to have low radar cross section(RCS). Recently, a number of research groups have conducted the studies on the RTS in the VHF-band where such targets can be better detected than in the X-band. However, there is a lack of work carried out on the mathematical description of the VHF-band RTS. In this paper, chirplet decomposition is employed for modeling of the VHF-band RTS and its performance is compared with that of existing scattering center model generally used for the X-band. In addition, the discriminative signal analysis is performed by chirplet parameterization of range profiles from in an ISAR image. Because the chirplet decomposition takes long computation time, its fast form is further proposed for enhanced practicality.

Improvement of Target Position Estimation Accuracy for UAV using Kalman Filter (칼만필터를 이용한 무인기의 표적위치 추정 정확도 개선)

  • Oh, Soo-Hun;Kim, Tae-Sik
    • Aerospace Engineering and Technology
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    • v.6 no.1
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    • pp.237-244
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    • 2007
  • Estimation of target position is one of the main functions of surveillance UAVs, and is being used to various purposes but generally noisy target position is estimated due to the existence of random measurement errors. In this report, a method of diminishing target position estimation error by calculating target position using Kalman Filtered optimum values such as position, attitude of UAV and sight vector of optical instrument, is proposed.

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Performance Enhancement of Virtual War Field Simulator for Future Autonomous Unmanned System (미래 자율무인체계를 위한 가상 전장 환경 시뮬레이터 성능 개선)

  • Lee, Jun Pyo;Kim, Sang Hee;Park, Jin-Yang
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.10
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    • pp.109-119
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    • 2013
  • An unmanned ground vehicle(UGV) today plays a significant role in both civilian and military areas. Predominantly these systems are used to replace humans in hazardous situations. To take unmanned ground vehicles systems to the next level and increase their capabilities and the range of missions they are able to perform in the combat field, new technologies are needed in the area of command and control. For this reason, we present war field simulator based on information fusion technology to efficiently control UGV. In this paper, we present the war field simulator which is made of critical components, that is, simulation controller, virtual image viewer, and remote control device to efficiently control UGV in the future combat fields. In our information fusion technology, improved methods of target detection, recognition, and location are proposed. In addition, time reduction method of target detection is also proposed. In the consequence of the operation test, we expect that our war field simulator based on information fusion technology plays an important role in the future military operation significantly.

Target Localization for DIFAR Sonobuoy compensated Bearing Estimation and Sonobuoy Position Error (방위각 추정 및 소노부이 위치 오차를 보상한 DIFAR 소노부이의 표적 위치 추정 성능 향상 기법)

  • Gwak, Sang-Yell
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.2
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    • pp.221-228
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    • 2020
  • A sonobuoy is dropped onto the surface of water to estimate the bearing of an underwater target. A Directional Frequency Analysis and Recording (DIFAR) sonobuoy has an error in the specific angular section due to the method of estimating bearing and noise, which causes an error in target localization using multiple sonobuoys. In addition, the position of the sonobuoy continues to move, but since a sonobuoy with a GPS is intermittently arranged, it is difficult to estimate the exact position of the sonobuoy. This also causes target localization performance degradation. In this paper, we propose a technique to improve the target localization performance by compensating for bearing errors using characteristics of the DIFAR sonobuoy and multiple-sonobuoy position errors based on the intermittently arranged active sonobuoy with a GPS.

A Study on Methodology for Air Target Dynamic Targeting Applying Machine Learning (기계학습을 활용한 항공표적 긴급표적처리 발전방안 연구)

  • Kang, Junghyun;Yim, Dongsoon;Choi, Bongwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.4
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    • pp.555-566
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    • 2019
  • In order to prepare for the future warfare environment, which requires a faster operational tempo, it is necessary to utilize the fourth industrial revolution technology in the field of military operations. This study propose a methodology, 'machine learning based dynamic targeting', which can contribute to reduce required man-hour for dynamic targeting. Specifically, a decision tree algorithm is considered to apply to dynamic targeting process. The algorithm learns target prioritization patterns from JIPTL(Joint Integrated Prioritized Target List) which is the result of the deliberate targeting, and then learned algorithm rapidly(almost real-time) determines priorities for new targets that occur during ATO(Air Tasking Order) execution. An experiment is performed with artificially generated data to demonstrate the applicability of the methodology.

A Study on the Improvement of Naval Surveillance Radar to Solve the Target Display Problem (함정용 탐색레이더의 표적 전시상태 개선에 관한 연구)

  • Sim, Min-Seop;Lee, Ji-Hyeog;Jeong, Hyeon-Seob
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.10
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    • pp.541-546
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    • 2020
  • The surveillance radar for naval ships is an essential equipment of a battle system that executes the detection and tracking of targets, and the shooting support function; it calculates the three-dimensional track of the target range, azimuth, and altitude to carry out its duty. The surveillance radar consists of an antenna, a transceiver, a processing unit, and an air dryer section. The radar radiates the transmission signal on the antenna section, receives the reflected signal from the target, and amplifies the signals on the transceiver section. The signal received from the antenna is used to provide the operator with target information in various ways. This study identified the display problems when the information about the target is displayed through the radar. The causes of the problems were analyzed and improved. The tracking disappearance phenomenon caused by the altered-course of the ship was improved on the TWS tracking algorithm. The validity of the improved TWS tracking algorithm was confirmed by the normal condition of the target status on the B-scope.

A Study on the Underwater Target Detection Using the Waveform Inversion Technique (파형역산 기법을 이용한 수중표적 탐지 연구)

  • Bae, Ho Seuk;Kim, Won-Ki;Kim, Woo Shik;Choi, Sang Moon
    • The Journal of the Acoustical Society of Korea
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    • v.34 no.6
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    • pp.487-492
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    • 2015
  • A short-range underwater target detection and identification techniques using mid- and high-frequency bands have been highly developed. However, nowadays the long-range detection using the low-frequency band is requested and one of the most challengeable issues. The waveform inversion technique is widely used and the hottest technology in both academia and industry of the seismic exploration. It is based on the numerical analysis tool, and could construct more than a few kilometers of the subsurface structures and model-parameters such as P-wave velocity using a low-frequency band. By applying this technique to the underwater acoustic circumstance, firstly application of underwater target detection is verified. Furthermore, subsurface structures and it's parameters of the war-field are well reconstructed. We can confirm that this technique greatly reduces the false-alarm rate for the underwater targets because it could accurately reproduce both the shape and the model-parameters at the same time.

Analysis of acoustic scattering characteristics of an aluminum spherical shell with different internal fluids and classification using pseudo Wigner-Ville distribution (구형 알루미늄 쉘 내부의 충전 유체에 따른 수중 음향 산란 특성 분석 및 유사 위그너-빌 분포를 이용한 식별 기법 연구)

  • Choo, Yeon-Seong;Byun, Sung-Hoon;Kim, Sea-Moon;Lee, Keunhwa
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.5
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    • pp.549-557
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    • 2019
  • The acoustical scattering characteristics of a target are influenced by the material properties and structural characteristics of the target, which are critical information for acoustic detection and identification of underwater target. In particular, for thin elastic target, unique scattered signals are generated around the target by the Lamb wave. In this paper, the results of scattered signal measurement of aluminum spherical shell in the water tank using the stepped frequency sweep sine signal are presented. In particular, the scattering of the water-filled aluminum spherical shell is compared with that of the air-filled one both theoretically and experimentally. The difference of the scattered signals are analyzed using the pseudo Wigner-Ville distribution in terms of average frequency, frequency distribution, and energy of the scattered signal. The result shows that all observed parameters increased when the aluminum sphere was water-filled, and it is well matched to the theoretical expectation.