지능화 전장 시대 해상경계작전 개념 발전 방향: 위성·AI·무인체계 기반 정보우위 모델을 중심으로

이주연¹^{, *} ; 배학영²

1항공우주공학박사/해군 소령/해군본부 기획관리참모부 전력기획과 다영역전력기획담당
2국방대학교 전략학부 부교수

Conceptual Development of Maritime Surveillance Operations in the Era of Intelligent Warfare: Focused on an Information Superiority Model Using Satellite, AI, and Unmanned Systems

Juyeon Lee¹^{, *} ; Hackyoung Bae²

1Ph.D in aerospace engineering/LCDR/Multi-domain force planning officer, Force Planning Division, ROK Navy HQ
2Associate Professor, Dept. of Strategic Studies, Korea National Defense University

Correspondence to: ^*Juyeon Lee E-mail: juyeonlee.aerospace@gmail.com

초록

다영역전장 환경 속에서 한국 해군의 전통적인 유인 초계 중심 해상경계작전 개념은 한계에 직면하고 있다. 본 연구는 위성자산, 인공지능, 무인체계의 통합 운용을 기반으로 한 정보주도형 자동화 작전개념을 제안하고, OODA 루프 구조에 따라 기존 개념과의 차이를 분석하였다. 전쟁의 수단-방법 관계에 대한 이론적 고찰과 해전 사례 분석을 통해 기술 발전에 부응한 경계작전 수행방식을 제시하고, 감시 범위 확대, 자산 생존성, 판단 속도, 작전 지속성 측면에서의 전략적 우위를 확인하였다.

Abstract

In a multi-domain operational environment, the Republic of Korea Navy’s traditional manned patrol-centric maritime surveillance concept faces structural limitations. This study proposes an information-centric automated operational model based on the integration of satellite assets, artificial intelligence, and unmanned systems, and compares it to the legacy concept using the OODA loop framework. Through theoretical analysis of the means-ways relationship in warfare and historical naval case studies, the study presents a technologically responsive surveillance model and confirms its strategic advantages in expanded coverage, asset survivability, decision speed, and operational sustainability.

Keywords:

Maritime Surveillance Operations, Information-centric Operations, Satellite ISR, Unmanned Systems, Artificial Intelligence

키워드:

해상경계작전, 정보주도형 작전, 위성정보, 무인체계, 인공지능

References

Hakyoung Bae, “Study of Space Force Development for Maritime Domain Awareness,” Korean Maritime Security Review, Vol. 7, No. 1, pp. 1-34, 2024.
Junho Lee, “’Navy Sea GHOST & Maritime GALAXY’ Implementation Strategy in the Age of Tech-politics,” Journal of the KNST, Vol. 7, No. 2, pp. 206-215, 2024. [https://doi.org/10.31818/jknst.2024.6.7.2.206]
Joon Hong Kwon et al., “Development of an AI-based Coastal Guard Surveillance System,” Vol. 48, No. 2, pp. 86-98, 2022.
Jaehak Ryu, “A Study on the Development Strategy of Unmanned Maritime System on the Future War,” Journal of the KNST, Vol. 6, No. 2, pp. 127-132, 2023.
Hackyoung Bae, “A Study on the Operational Concept of K-Ghost Fleet and Force Development,” Journal of the Korean Association for Defense Industry Studies, Vol. 29, No. 2, pp. 73-88, 2022. [https://doi.org/10.52798/kadis.2022.2.6]
B. Clark and D. Patt, Mosaic Warfare: Exploiting Artificial Intelligence and Autonomous Systems to Implement Decision-Centric Operations, Center for Strategic and Budgetary Assessment, Washington, D.C., 2020.
U.S. Department of the Navy, Unmanned Campaign Framework, Washington, D.C., Mar. 2021.
Hoyoung Na, “China’s Revolution in Military Affairs Based Intelligence: Focusing on Military Intelligentization,” Korean Journal of Military Art and Science, Vol. 76, No. 3, pp. 91-118, 2020.
Jeong-hyun Kim, “Naval Warfare and the Development of the Weapon System in History,” Proceeding of the Korean Institute of Information and Communication Sciences Conference, pp. 144-150, 2013.
Young-Chan, Choi, “Analysis of the Russian-Ukraine War: Naval Power Use of Russia and Implications,” Korean Journal of Military Studies, Vol. 12, No. 2, pp. 3-30, 202