• Title/Summary/Keyword: Counterfire Warfare

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Modeling and Analysis of Counterfire Warfare for Tactical Operation and Acquisition (전술적 운용과 무기체계 획득을 위한 대화력전 모델링과 분석)

  • Lim, Jong-Won;Lee, Tae-Eog;Kim, Dae-Kyu
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.2
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    • pp.175-184
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    • 2013
  • In counterfire warfare, it is important to detect and attack enemy targets faster than the enemy using sensing and shooting assets. The artillery assets of North Korea are mostly mine artillery and much more than those of South Korea. To cope with sudden fire attacks from North Korea, we need to improve capability of our artillery. In this paper, we discuss issues and problems of our counterfire warfare systems and processes to overcome numerical inferiority and defend against the mine artillery. We develop a simulation model for counterfire warfare and analyze effectiveness of our counterfire weapon systems and operations based on various counterfire warfare scenarios. Finally, we propose methods of tactical operations and acquisition strategies of counterfire weapon systems, including detaction, firing, and protection assets.

Case Studies on Planning and Learning for Large-Scale CGFs with POMDPs through Counterfire and Mechanized Infantry Scenarios (대화력전 및 기계화 보병 시나리오를 통한 대규모 가상군의 POMDP 행동계획 및 학습 사례연구)

  • Lee, Jongmin;Hong, Jungpyo;Park, Jaeyoung;Lee, Kanghoon;Kim, Kee-Eung;Moon, Il-Chul;Park, Jae-Hyun
    • KIISE Transactions on Computing Practices
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    • v.23 no.6
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    • pp.343-349
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    • 2017
  • Combat modeling and simulation (M&S) of large-scale computer generated forces (CGFs) enables the development of even the most sophisticated strategy of combat warfare and the efficient facilitation of a comprehensive simulation of the upcoming battle. The DEVS-POMDP framework is proposed where the DEVS framework describing the explicit behavior rules in military doctrines, and POMDP model describing the autonomous behavior of the CGFs are hierarchically combined to capture the complexity of realistic world combat modeling and simulation. However, it has previously been well documented that computing the optimal policy of a POMDP model is computationally demanding. In this paper, we show that not only can the performance of CGFs be improved by an efficient POMDP tree search algorithm but CGFs are also able to conveniently learn the behavior model of the enemy through case studies in the scenario of counterfire warfare and the scenario of a mechanized infantry brigade's offensive operations.

The Effective Method for Changing the Resolution of the Grid Environment Data (다수/다차원 격자형데이터를 이용한 해상도 변환의 효율적 방안 연구)

  • Kim, Chang-Jin;Oh, Gwang-Beak;Na, Young-Nam
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.2
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    • pp.169-174
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    • 2013
  • In counterfire warfare, it is important to detect and attack enemy targets faster than the enemy using sensing The grided environmental data is usually provided by the numerical simulation coupled with a data assimilation technique and various inter- or extrapolation algorithms, both of which are based on the observation spanning from simple equipments to satellites. In order to employ the gridded environmental data in the M&S system frequently cutting area and changing its resolution, interpolation algorithms such as linear, cubic spline, IDW, and Kriging methods are necessary to apply. These methods, however, require much time in the M&S system. This paper introduces a technic to reduce time to change the resolution of data. using the binary search method, which finds a point to interpolate quickly and interpolate data in the vicinity of. We also show the efficiency of proposed methods by way of measuring the respective elapsed times.

An Analysis of the Operational Effectiveness of Target Acquisition Radar (포병 표적탐지 레이더 운용의 계량적 효과 분석)

  • Kang, Shin-Sung;Lee, Jae-Yeong
    • Journal of the Korea Society for Simulation
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    • v.19 no.2
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    • pp.63-72
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    • 2010
  • In the future warfare, the importance of the counter-fire operation is increasing. The counter-fire operation is divided into offensive counter-fire operation and defensive counter-fire operation. Reviewing the researches done so far, the detection asset of offensive counter-fire operation called UAV(Unmanned Aerial Vehicle) and its operational effectiveness analysis is continually progressing. However, the analysis of the detection asset of defensive counterfire called Target Acquisition Radar(TAR) and its quantitative operational effectiveness are not studied yet. Therefore, in this paper, we studied operational effectiveness of TAR using C2 Theory & MANA Simulation model, and showed clear quantitative analysis results by comparing both cases of using TAR and not using TAR.