• Title/Summary/Keyword: Air defense

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Distributed Air Defense Simulation Model and its Applications (방공교전모델(DADSim) 개발 및 활용사례)

  • 최상영;김의환
    • Journal of the military operations research society of Korea
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    • v.27 no.2
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    • pp.134-148
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    • 2001
  • In this paper, air-defense simulation model, called "DADSim", will be introduced. DADSim(Distributed Air Defense Simulation Model) was developed by Modeling&Simulation Lab of K.N.D.U.(Korea National Defence Univ) Weapon Systems Department. This model is an analysis-purpose model in the engagement-level. DADSim can simulate not only the global air-defense or Korean Peninsula but also the local air-defense or a battle field. DADSim uses the DTED(digital terrain elevation data) LeveII it for the representation of peninsula terrain characteristics. The weapon systems cooperated in the model are low/medium-range missile systems such as HAWK, NIKE, SAM. DADSim was designed in the way of object-oriented development method, implemented by C++ language. The simulation view is an event-sequenced object-orientation. For the convenience of input, output analysis, GUI(Graphic User Interface) of menu, window, dialog box, etc. are provided to the user, For the execution of DADSim, Silicon Graphic IRIX 6.3 or high version is required. DADSim can be used for the effectiveness analysis of­defence systems. Some illustrative examples will be shown in this paper.

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A Study on the Optimal Allocation of Korea Air and Missile Defense System using a Genetic Algorithm (유전자 알고리즘을 이용한 한국형 미사일 방어체계 최적 배치에 관한 연구)

  • Yunn, Seunghwan;Kim, Suhwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.18 no.6
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    • pp.797-807
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    • 2015
  • The low-altitude PAC-2 Patriot missile system is the backbone of ROK air defense for intercepting enemy aircraft. Currently there is no missile interceptor which can defend against the relatively high velocity ballistic missile from North Korea which may carry nuclear, biological or chemical warheads. For ballistic missile defense, Korea's air defense systems are being evaluated. In attempting to intercept ballistic missiles at high altitude the most effective means is through a multi-layered missile defense system. The missile defense problem has been studied considering a single interception system or any additional capability. In this study, we seek to establish a mathematical model that's available for multi-layered missile defense and minimize total interception fail probability and proposes a solution based on genetic algorithms. We perform computational tests to evaluate the relative speed and solution of our GA algorithm in comparison with the commercial optimization tool GAMS.

A Research on Adversarial Example-based Passive Air Defense Method against Object Detectable AI Drone (객체인식 AI적용 드론에 대응할 수 있는 적대적 예제 기반 소극방공 기법 연구)

  • Simun Yuk;Hweerang Park;Taisuk Suh;Youngho Cho
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.119-125
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    • 2023
  • Through the Ukraine-Russia war, the military importance of drones is being reassessed, and North Korea has completed actual verification through a drone provocation towards South Korea at 2022. Furthermore, North Korea is actively integrating artificial intelligence (AI) technology into drones, highlighting the increasing threat posed by drones. In response, the Republic of Korea military has established Drone Operations Command(DOC) and implemented various drone defense systems. However, there is a concern that the efforts to enhance capabilities are disproportionately focused on striking systems, making it challenging to effectively counter swarm drone attacks. Particularly, Air Force bases located adjacent to urban areas face significant limitations in the use of traditional air defense weapons due to concerns about civilian casualties. Therefore, this study proposes a new passive air defense method that aims at disrupting the object detection capabilities of AI models to enhance the survivability of friendly aircraft against the threat posed by AI based swarm drones. Using laser-based adversarial examples, the study seeks to degrade the recognition accuracy of object recognition AI installed on enemy drones. Experimental results using synthetic images and precision-reduced models confirmed that the proposed method decreased the recognition accuracy of object recognition AI, which was initially approximately 95%, to around 0-15% after the application of the proposed method, thereby validating the effectiveness of the proposed method.

Analysis concerning the latest operating concept and status for Air Defense Identification Zone(ADIZ) (최근 방공식별구역 운영 개념과 현황 분석)

  • Kim, Dongsoo;Hong, Sungpyo;Chong, Mangseok
    • Journal of Aerospace System Engineering
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    • v.8 no.4
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    • pp.44-51
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    • 2014
  • This thesis analyzes the latest operating concept and status for Air Defense Identification Zone (ADIZ) researching overseas ADIZ CONOPS, international legal basis for ADIZ, the intention & background of proclamation for China Air Defense Identification Zone(CADIZ). Firstly, ADIZ is lawful concerning international connivance for ADIZ where around 20 countries have operated, Article 56 "Rights, jurisdiction & duties of the coastal State" and Article 301 "Peaceful uses of the seas" on the United Nations Convention on the Law of the Sea(UNCLS). Secondly, ADIZ has been regarded as a support means for national interest & policy as well as military air defense one. Thirdly, Based on legal re-interpretation for UNCLS relating to ADIZ, China proclaimed CADIZ where can ensure national maritime policy and strategy including A2/AD(Anti-Access & Area Defence), inroad into the ocean, claim for Senkaku Islands possession, etc..

Architecture of A Launch Control Unit for the Compatibility of Weapon Systems Based on Shipboard (함정 기반 다중 무장 호환 운용을 위한 발사제어기 아키텍처)

  • Shin, JinBeom;Cho, KilSeok;Yoo, MyongHwan;Kim, TaeHyon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.2
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    • pp.176-184
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    • 2020
  • In this paper, we have proposed hardware and software architecture of a launch control unit for the compatibility between air defense weapon systems loaded on shipboard. Until now, there is no compatibility between weapon systems loaded in battleships of korean navy. In the case of HaeGung system recently completed the test and evaluations, although it will be deployed on several kinds of shipboards, it has no compatibility and flexibility with other air defense weapon systems. Recently it reports that a long range air defense weapon system will be carried on future korean destroyer KDDX. Because the HaeGung and a long range air defense system will be operated together in KDDX, it is necessary to provide the compatibility between two weapon systems. So we have proposed architecture to provide the compatibility of the launch control unit that controls the launching system and the missile interface unit, and the missile in each weapon systems.

An Optimal Investment Planning Model for Improving the Reliability of Layered Air Defense System based on a Network Model (다층 대공방어 체계의 신뢰도 향상을 위한 네트워크 모델 기반의 최적 투자 계획 모델)

  • Lee, Jinho;Chung, Suk-Moon
    • Journal of the Korea Society for Simulation
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    • v.26 no.3
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    • pp.105-113
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    • 2017
  • This study considers an optimal investment planning for improving survivability from an air threat in the layered air defense system. To establish an optimization model, we first represent the layered air defense system as a network model, and then, present two optimization models minimizing the failure probability of counteracting an air threat subject to budget limitation, in which one deals with whether to invest and the other enables continuous investment on the subset of nodes. Nonlinear objective functions are linearized using log function, and we suggest dynamic programming algorithm and linear programing for solving the proposed models. After designing a layered air defense system based on a virtual scenario, we solve the two optimization problems and analyze the corresponding optimal solutions. This provides necessity and an approach for an effective investment planning of the layered air defense system.

The Development of Rule-based AI Engagement Model for Air-to-Air Combat Simulation (공대공 전투 모의를 위한 규칙기반 AI 교전 모델 개발)

  • Minseok, Lee;Jihyun, Oh;Cheonyoung, Kim;Jungho, Bae;Yongduk, Kim;Cheolkyu, Jee
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.6
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    • pp.637-647
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    • 2022
  • Since the concept of Manned-UnManned Teaming(MUM-T) and Unmanned Aircraft System(UAS) can efficiently respond to rapidly changing battle space, many studies are being conducted as key components of the mosaic warfare environment. In this paper, we propose a rule-based AI engagement model based on Basic Fighter Maneuver(BFM) capable of Within-Visual-Range(WVR) air-to-air combat and a simulation environment in which human pilots can participate. In order to develop a rule-based AI engagement model that can pilot a fighter with a 6-DOF dynamics model, tactical manuals and human pilot experience were configured as knowledge specifications and modeled as a behavior tree structure. Based on this, we improved the shortcomings of existing air combat models. The proposed model not only showed a 100 % winning rate in engagement with human pilots, but also visualized decision-making processes such as tactical situations and maneuvering behaviors in real time. We expect that the results of this research will serve as a basis for development of various AI-based engagement models and simulators for human pilot training and embedded software test platform for fighter.

Estimation and Uncertainty Evaluation on Mass Flow Rate of Air Intake by Using Air Data (비행정보를 이용한 흡입구의 공기유량 추정 및 불확도 평가)

  • Park, Iksoo;Park, Jungwoo;Ki, Taeseok;Choi, Jin;Lee, Juyoung
    • Journal of the Korean Society of Propulsion Engineers
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    • v.22 no.3
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    • pp.14-20
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    • 2018
  • An estimation law of air mass flow rate for high speed engine control is presented. The variables of mass estimation equations are modified to measurable variables which can be obtained during flight, and the effectiveness of each variable to the estimation accuracy is evaluated. The equation is modified to a simplified form, and the uncertainty is evaluated. In addition, reference data for the selection of estimation methods is suggested by considering the sensitivity analysis of sensor error.