• Journal of the Korea Society for Simulation
• /
• v.19 no.2
• /
• pp.63-72
• /
• 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.

• Journal of the Korea Society for Simulation
• /
• v.17 no.4
• /
• pp.143-152
• /
• 2008

At an initial battle stage, counter-fire capability have critical impact on defeating the enemy in the future warfare. In this paper, we proposed an efficient method of counter-fire execution. To do that, hit-probability for each artillery type was evaluated using CEP and applied to calculate new target reference table of a counter-fire operation. In order to compare new result to the one obtained by using previous reference table from BTCS, we did simulation using MANA model. Simulation outputs show that new method is superior to previous method of counter-fire operation in various scenarios depending upon each method and usage of UAV.

• Journal of the Korea Society for Simulation
• /
• v.25 no.2
• /
• pp.41-49
• /
• 2016

Counter Fire Operations can be characterized as having a system of systems that key features include situational awareness, command and control systems and highly responsive strike achieved by precision weapons. Current modeling methodology cannot provide an appropriate methodology for a system of systems and utilizes modeling and simulation tools to implement analytic options which can be time consuming and expensive. We explain developing methodology and tools for the effectiveness analysis of the counter fire operations under Network Centric Warfare Environment and suggest how to support a efficient decision making with the methodology and tools. Theater Counter Fire Operations tools consist of Enemy block, ISR block, C2 block and Shooter block. For the convenience of using by domain expert or non simulation expert, it is composed of the environments that each parameter and algorithm easily can be altered by user.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.53 no.2
• /
• pp.62-69
• /
• 2016

This paper proposes to select Measure of Performance(MOP) for object attainment in the counterfire operation and deduce the reasonable combination of blue force's hitting resources satisfying MOP's optimal value and regression equation for the object achievement time. Also, in the study-methodological perspective, a series of procedures for drawing the regression equation from the real world is presented. Firstly the model was made by simplifying the weapon-system information of red force and blue force, then the time for object attainment was derived from its simulation. Simulating the model for the counterfire operation was divided into three phases-detection, decision and hitting. The probability method by applying the random numbers were used for detection, fixed constant numbers for decision and hitting. The simulation was repeatedly performed to get the minimum time for the object attainment against the fixed enemy, and it was estimated as the optimal value of simulation. From this result, the optimum combination of blue force's weapon system against the red force and finally, the regression equation were obtained by using the response surface analyzing method in MINITAB. Thereafter this equation was completely verified by using 'the 2-sample t-test.' As a result, the regression equation is suitable.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.16 no.2
• /
• pp.175-184
• /
• 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.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.11 no.1
• /
• pp.51-56
• /
• 2008

The counter-fire operation system performs its mission exchanging information with other related systems such as command & control systems and military information systems. In the process of exchanging information, the counter-fire operation system uses a type of data message which contains exchange data information in the format of KMTF. The requirement of data exchange of count-fire operation will continue to evolve. But the EDX(External Data eXchange) configuration item of the current counter-fire operation system can not effectively cope with the variation of data exchange requirements due to its fixed software structure. In the paper, a solution for improving flexibility of external data exchange in counter-fire operation system is proposed.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.10 no.2
• /
• pp.148-151
• /
• 2007

The CF(Counter-fire) is neutralizing enemy's all command control systems and fire support elements. It will weaken a battle continuous ability and an intension to fight. At the beginning of the CF is obtaining locations of targets using various detection assets. CF command center processes acquired target information and send it to attacking equipments. The targets are classified into two classes, preplanned target and target of opportunity The target of opportunity is potential threaten, so it needs to take a immediate and exact process for determining location of target of opportunity. This paper proposes the real-time processing algorithm for offensive weapons to strike target of opportunity, and presents the result of its performance.

• Defense and Technology
• /
• no.4 s.278
• /
• pp.22-31
• /
• 2002

K9 BTCS의 성공적인 개발은 디지털화된 사격지휘 전산장비체계로 종심지원작전, 근접지원작전 그리고 대화력전을 수행하는 여건을 제공하였다. 또한 K9 자주포의 전술적운용 능력과 실시간 타격전력 발휘에 질적인 발전과 변화를 가져다 주었으며, 기존의 BTCS를 기반으로 하여 화력지원 사격지휘체계를 한 단계 높은 화력을 운용하도록 성능개량한 것으로, 무선에 의한 디지털 다중임무수행, 표적획득체계와의 연동운용, 상황도시 등을 윈도우 환경에서 운용할 수 있게 되었다. 이로써 $C^4I$체계상에서 SHOOT & SCOOT 전술적 운용과 효과중심의 탄약을 적시에 사용할 수 있게 하였고, 화력집중과 분산을 용이하게 하였다.

• KIISE Transactions on Computing Practices
• /
• v.23 no.6
• /
• pp.343-349
• /
• 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.

• Journal of the military operations research society of Korea
• /
• v.36 no.2
• /
• pp.11-24
• /
• 2010

Quick precision-strike capability of the artillery will be an important factor in modern and future war and it's represented by NCW and EBO. This study is based on artillery which has time limitation of firing, such as artillery which hides when not firing, and modeling various situations to decide firing order and who to shoot. The main purpose of this study is to suggest a mathematical programming model and a genetic algorithm which satisfies the limitation of firing time. The objective function is to minimize the total firing time to spend. The results of the suggested algorithm quickly gives a best solution for a large scale field artillery targeting problems.