• Journal of Information Technology and Architecture
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• v.9 no.4
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• pp.391-400
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• 2012

This work describes a derivation of functional architecture of Cooperative Engagement (CE) for a Theater Ballistic Missile Defense (TBMD). The TBMD is composed of multi-layered defense systems as system of systems which includes network-based sensors, shooters and battle management. The Cooperative Engagement Capability (CEC) is a typical real-time battle management system, and the key function of the CEC is CE. The CE is a warfighting concept designed to defeat threats through the synergistic integration of distributed resources among two or more units. In this point of view, this paper proposed functional architecture through analyzing the CE concept, and was conducted as a pre-study to develop a CE based combat system of TBMD.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.152-155
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• 2014

현대전에서 C4ISR 및 PGM 능력 보유가 점점 중요해지는 만큼 무기체계 위협에 대응시간 또한 점차 짧은 시간을 요구하고 있다. 미 해군에서는 제1, 2차 세계대전을 통해 대공위협에 대한 협동 대응 필요성 자각이후 협동교전능력(CEC : Cooperative Engagement Capability)를 발전시켜왔지만 한국군에서는 아직 개념이 미개발되어 있는 상태이다. CEC의 여러 능력 성분 중에서 한국해군 수상전투단에서 가장 필요로 하는 요소가 가장 짧은 대응시간을 요구하는 대함유도탄 협동대응능력일 것이다. 이를 구현하기 위해 전투단내 함정 간 정보를 교환할 수 있는 통신프레임을 디자인하여 제시하고 실제 운용 가능성을 예측한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.1
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• pp.17-27
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• 2014

As the importance of Cooperative Engagement Capability and network-centric warfare has been dramatically increasing, it is necessary to develop distributed tracking systems. Under the development of distributed tracking systems, it requires tracking filters and data fusion theory for nonlinear systems. Therefore, in this paper, the problem of nonlinear track fusion, which is suitable for distributed networks, is formulated, four algorithms to solve the problem of nonlinear track fusion are introduced, and performance of introduced algorithms are analyzed. It is a main problem of nonlinear track fusion that cross-covarinaces among multiple platforms are unknown. Thus, in order to solve the problem, two techniques are introduced; a simplification technique and a approximation technique. The simplification technique that help to ignore cross-covariances includes two algorithms, i.e. the sample mean algorithm and the Millman formula algorithm, and the approximation technique to obtain approximated cross-covariances utilizes two approaches, by using analytical linearization and statistical linearization based on the sigma point approach. In simulations, BCS fusion is the most efficient scheme because it reduces RMSE by approximating cross-covariances with low complexity.

• Journal of the Korea Society for Simulation
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• v.29 no.2
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• pp.105-117
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• 2020

Analysis of combat effectiveness is required to consider the concept of tactical cooperative engagement between manned-unmanned weapon systems, in order to predict the required operational capabilities of future weapon systems that meets the concept of 'effect-based synchronized operations.' However, analytical methods such as mathematical and statistical models make it difficult to analyze the effects of complex systems under nonlinear warfare. In this paper, we propose a combat simulation model that can simulate the concept of cooperative engagement between manned-unmanned combat entities based on wireless communications. First, we model unmanned combat entities, e.g., unmanned ground vehicles and drones, and manned combat entities, e.g., combatants and artillery, considering the capabilities required by the future ground system. We also simulate tactical behavior in which all entities perform their mission while sharing battlefield situation information through wireless communications. Finally we explore the feasibility of the proposed model by analyzing combat effectiveness such as target acquisition rate, remote control success rate, reconnaissance lead time, survival rate, and enemy's loss rate under a small-unit armor reconnaissance scenario. The proposed model is expected to be used in war-game combat experiments as well as analysis of the effects of manned-unmanned ground weapons.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.11-19
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• 2024

Multi-agent systems can be utilized in various real-world cooperative environments such as battlefield engagements and unmanned transport vehicles. In the context of battlefield engagements, where dense reward design faces challenges due to limited domain knowledge, it is crucial to consider situations that are learned through explicit sparse rewards. This paper explores the collaborative potential among allied agents in a battlefield scenario. Utilizing the Multi-Robot Warehouse Environment(RWARE) as a sparse reward environment, we define analogous problems and establish evaluation criteria. Constructing a learning environment with the QMIX algorithm from the reinforcement learning library Ray RLlib, we enhance the Agent Network of QMIX and integrate Random Network Distillation(RND). This enables the extraction of patterns and temporal features from partial observations of agents, confirming the potential for improving the acquisition of sparse reward experiences through intrinsic rewards.

• Journal of the Korean Society of Systems Engineering
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• v.2 no.1
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• pp.5-10
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• 2006

This paper describes an operational concept of ships with CEC system. An operational architecture is derived using systems engineering approach. From consideration of operational environments and stakeholders, the operational concept scenarios are established and its requirements are derived. The operational requirements based operational architecture is presented using a computer aided systems engineering tool.

• Journal of the military operations research society of Korea
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• v.37 no.1
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• pp.87-97
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• 2011

In this paper, we propose a new close combat expert system to overcome the difference of combat damage assessments between combat units belong to their own model in Combined Arms Integrated Interoperability System(CAIIS) which will be deployed in the early future. When it happens to engage in a battle among combat units belong to their own model in CAIIS, the result of damage assessment is different severely. This is related to CAIIS's confidence and need to be overcome. We propose the expert system for close combat damage assessment with a decision tree. Simulation results show that the proposed expert system is valid well. Because the proposed expert system is made not as an independent system but as an inner module type of CAIIS, CAIIS will be simpler system than we expect. And we will hope to reduce the cost of CAIIS.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.95-105
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• 2019

The Cooperative Engagement Capability (CEC) System produces a synergy between the sensors and shooters that are used on various platforms by integrating them. Even the US Navy has been recently adopting the CEC system that maximizes the effectiveness of the air defense operations by efficiently coordinating the dispersed air defense assets. The Navy of other countries are conducting research studies on the theory and application methods for the CEC system. The ROK Navy has limited air defense capabilities due to its independent weapons systems on battle ships. Therefore, the ROK Navy is currently going through a phase where research on proving the validity of building the CEC system because it will provide a way to overcome the limit of the platform based air defense capability. In this study, our goal is to propose methods that maximize the air defense capability of ROK Navy, identify the available assets for constructing the CEC system, and estimate effects of the CEC system when it is applied to the naval operations. In addition, we will provide a simple model that was developed to estimate these effects and a case study with virtual data to demonstrate the effects of the system when it is applied to the naval operations. The research result of this study will provide a way for building the basis of the Korean CEC system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.5C
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• pp.355-364
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• 2012

Target processing mechanisms are necessary to collect target information, real-time data fusion, and tactical environment recognition for cooperative engagement ability. Among these mechanisms, the target tracking starts from predicting state of speed, acceleration, and location by using sensors' measurements. However, it can be a problem to give the reliability because the measurements have a certain uncertainty. Thus, a technique which uses multiple sensors is needed to detect the target and increase the reliability. Also, data fusion technique is necessary to process the data which is provided from heterogeneous sensors for target tracking. In this paper, a target tracking algorithm is proposed based on probabilistic data association(PDA) by fusing radar and ESM sensor measurements. The radar sensor's azimuth and range measurements and the ESM sensor's bearing-only measurement are associated by the measurement fusion method. After gating associated measurements, state estimation of the target is performed by PDA filter. The simulation results show that the proposed algorithm provides improved estimation under linear and circular target motions.