• Title/Summary/Keyword: 소형드론 위협

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Implications on US DoD Counter-Small Aircraft Systems Strategy (미 국방부 소형드론 대응전략과 시사점)

  • Kang-Il Seo;Sang-Keun Cho;Ki-Won Kim;In-keun Son;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.239-243
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    • 2023
  • Due to recent small unmanned aircraft threats by North Korea and unsuccessful reponses, severe concerns about future national security have been being increasingly surged. Especially it is notable and unaccpetable to see that North Korea's small drones flying over capical areas over 7 hours were not efficiently detected and identified even though South Korea already recognized the threats since early 2010s. Meanwhile a US military troop operating THAAD system on Seung-Joo, South Korea successfully shot down unidentified small drone on Jan 2023. The threats caused by small unmanned aircraft is worrisome not only to South Korea, but also to international nations. This paper surveyed US DoD Strategy for countering small aircraft systems and suggest how to improve our current anti-dron systems so that small unmanned aircraft threats will be dynamically diminished or neutralized as fast as we can.

Development Directions for Enhanced Protection of National Mjor Facilities Countering Drone Threats (국가중요시설 방호력 강화를 위한 대드론체계 발전 방향)

  • Sang-Keun Cho;Ki-Won Kim;In-keun Son;Kang-Il Seo;Min-seop Jung;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.257-262
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    • 2023
  • Recently there are increasing number of claims that it is necessary to build a countermeasure in case of aggressive threats by small drones. During Russia-Ukraine war ignited by Russian invasion on February 2022, attacking drones have been being used widely to damage other country's national major facilities. On December 2022, 5 drones sent by North Korea made a flight around Seoul, South Korea about 7 hours, but it was not successful to search and track them. Furthermore, none of these were destroyed and shot down. Counter-drone system is essential system to search and identify unintended small drones and disable them. This paper is for proposing required functions for building a counter-drone system for national major facilities. We conducted focus group interviews with relevant government officials and analyzed their suggestions on how to augment protection capabilities to defend against small drone attacks.

A Case Study on the Threat of Small Drone and the Development of Counter-Drone System (소형드론 위협 사례와 대드론체계 발전방향)

  • Kang-Il Seo;Ki-Won Kim;Jong-Hoon Kim;Sang-Keun Cho;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.327-332
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    • 2023
  • On December 26, 2022, North Korea's drone provocation resumed for the first time in eight years. The threat covered not only the Seoul metropolitan area but also the no-fly zone for the presidential office's security, and the South Korean military's response to it is not appropriate, which is a major controversy. In the midst of this, problems caused by the prohibition of small drones' flight and illegal intrusion into restricted areas are increasing in Korea, and the threat is becoming a reality, such as being used for terrorist attacks abroad. In this paper, the concept of "Counter-Drone" and related technologies were considered for these drone threats, and implications were derived through domestic and overseas small drone threats, and the direction of development of the Counter-Drone system was presented. North Korea's drone threat is expected to be more diversified, massified, and advanced, resulting in bolder attacks and provocations. Therefore, the South Korean military should push for early powering of the integrated control system and the conter drone system, joint and military cooperation in response to the threat of small drones, and the ability to carry out joint operations between South Korea and the U.S.

A Study on the Threat of North Korean Small Drones (북한 소형 드론 위협 사례에 대한 연구)

  • Kwang-Jae Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.397-403
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    • 2024
  • North Korea's rapidly advancing drone development and operational capabilities have become a significant threat to South Korea's security. The drone incursions by North Korea in 2014, 2017, and 2022 demonstrate the technological advancement and provocative potential of North Korean drones. This study aims to closely analyze the military threats posed by North Korean drones and seek effective countermeasures. The research examines the development level of North Korean drone technology, its military applications, the characteristics and patterns of recent drone incursions, the adequacy and limitations of South Korea's current response systems, and future countermeasures. For this purpose, domestic and international research literature and media reports were reviewed, and specific North Korean drone incursion cases were analyzed. The results indicate that North Korea's small drones possess technological features such as small size, low altitude, low-speed flight, long-duration flight, and reconnaissance equipment. These drones pose threats that can be utilized for reconnaissance, surveillance, surprise attacks, and terrorism. Additionally, South Korea's current response systems reveal limitations such as inadequate detection and identification capabilities, low interception success rates, lack of an integrated response system, and insufficient specialized personnel and equipment. Therefore, this study suggests various technical, policy, and international cooperative countermeasures, including the development of drone detection and identification technologies, the utilization of diverse drone neutralization technologies, the establishment of legal and institutional foundations, the construction of a cooperative framework among relevant agencies, and the strengthening of international cooperation. The study particularly emphasizes the importance of raising awareness of the North Korean drone threat across South Korean society and unifying national efforts to respond to these threats.

Suggestion of Re-Classification of Low Altitude Airspace to Cope with Drone Era (드론 시대에 대처하기 위한 저고도 공역의 재설정 제안)

  • Gu, Sam-Ok
    • 한국항공운항학회:학술대회논문집
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    • 2015.11a
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    • pp.59-62
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    • 2015
  • 급증하고 있는 드론(무인항공기) 분야의 기술 개발과 보급이 활발해지는 효과의 반대급부로서 기존의 유인 항공기 운항의 안전이 위협받고 있다. 본 논문에서는 초경량/소형 드론이 비행하도록 지정된 저고도 공역에 대한 현 제도의 문제를 분석하고 드론의 비행 증가에 따른 항공안전을 확보하기 위한 저고도 공역 재설정을 포함한 공역 제도 개선 방안을 제안한다.

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The Fabrication of Compact Active Array Antenna for Drone Detection Radar (드론 탐지 레이다용 위상배열안테나 설계 및 구현)

  • Lim, Jae-Hwan;Jin, Hyoung-Suk;Lee, Jong-Hyun
    • Journal of IKEEE
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    • v.25 no.4
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    • pp.703-709
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    • 2021
  • As drone technology advances, the risks of drones are increasing, then technology to detect drones is becoming important. In this thesis, it was verified that miniaturized and lightweighted active array antenna could be used for radar system to detect drones in reality. The transmit-receive module was designed in the form of tile-type to simplify interconnections between devices. The waveform generation module and the down conversion module were miniaturized to include in one body too. As a result of verifing the detection performance through test, it was confirmed that the detection range was over 3.7Km.

Design Plan of Signal Processing Structure for Real-Time Application in Drone Detection Radar (실시간 적용을 위한 드론 탐지 레이다용 신호처리 구조 설계 방안)

  • Kong, Young-Joo;Sohn, Sung-Hwan;Hyun, Jun-Seok;Yoo, Dong-Gil;Cho, In-Cheol
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.3
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    • pp.31-36
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    • 2022
  • Recently, drones are being used in various fields, and drone technology is also developing. The risks of drones are increasing, then technology to detect drones is important. However, it is extremely difficult to detect and recognize drones due to the low level radar cross section of the commercial drones. In this paper, a signal processor structure that was mounted the miniaturized and light-weighted was designed. in order to process large amounts of data in real time, parallel processing was performed for each channel and an algorithm was applied to shorten the operation time in each step. As a test of verifing the detection performance through test, it was confirmed that the structure design works in real time.

Application of the Small UAV Defense System (무인항공기 대응체계 도입 방안)

  • Park, Jehong
    • Journal of Advanced Navigation Technology
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    • v.21 no.1
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    • pp.145-152
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    • 2017
  • As a popularization of small UAS to have improved flight performance and easiness of controlling, the UAS industry is increased and also small UAS is to be a new threat for airspace security of national strategic infrastructure. Rising the new threat makes the negative side effect of small UAS operation. This phenomena brought to new R&D needs "defense system" for small UAS/UAV - called Anti-Drone. The paper addressed case study of defects, accidents and threats by small UAS/UAV as world wide level, and research and development trend of UAS defense system as each technical category - CONOP (Concept of Operation), identification/recognition method and control/supremacy techniques. As a result, this suggests the direction what and where drone defense system should be applied first and required for Korean society in the view of society system (regime) and a point of view for minimizing side effect as UAS popularization.

Machine learning based radar imaging algorithm for drone detection and classification (드론 탐지 및 분류를 위한 레이다 영상 기계학습 활용)

  • Moon, Min-Jung;Lee, Woo-Kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.5
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    • pp.619-627
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    • 2021
  • Recent advance in low cost and light-weight drones has extended their application areas in both military and private sectors. Accordingly surveillance program against unfriendly drones has become an important issue. Drone detection and classification technique has long been emphasized in order to prevent attacks or accidents by commercial drones in urban areas. Most commercial drones have small sizes and low reflection and hence typical sensors that use acoustic, infrared, or radar signals exhibit limited performances. Recently, artificial intelligence algorithm has been actively exploited to enhance radar image identification performance. In this paper, we adopt machined learning algorithm for high resolution radar imaging in drone detection and classification applications. For this purpose, simulation is carried out against commercial drone models and compared with experimental data obtained through high resolution radar field test.

Counter-Drone System Evaluation Framework induced by RMA Thinking Process (군사혁신(RMA) 사고과정을 적용한 대드론체계 평가 기준(안) 정립)

  • Sang-Keun Cho;In-keun Son;Ki-Won Kim;Kang-Il Seo;Kwonil Kim;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.277-281
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    • 2023
  • Recent aggressive threats by North Korea using small drones have heavily impacted on ROK(Republic of Korea) society and it seems to be agreed that counter-drone systems are required to protect our properties. ROK government has been investigating current counter-drone systems for national important facilities. However, there is no consensus standard to evaluate the systems. This paper is to propose a counter-drone system evaluation framework which is the outcome through RMA(Revolution in Military Affairs) thinking process. The RMA thinking process is currently well-implemented in ROK army to develop future military strategy. The proposed framework has 4 categories - threat analysis of North Korea small drones, convergence of detection, tracking and neutralizing systems, integrated operations and available experts and organization - which have corresponding criteria.