차세대 레이다 체계 개발을 위한 Modeling & Simulation 적용 프레임워크 연구

박명훈^* ; 김정 ; 이성균 ; 고진용 ; 장재덕

LIG 디펜스&에어로스페이스 M&S팀 수석연구원

Modeling and Simulation Application Framework for Next-Generation Radar System Development

Myunghoon Park^* ; Jeong Kim ; Sungkyun Lee ; Jinyong Go ; Jaedeok Jang

Chief research engineer, M&S Team, LIG Defense&Aerospace

Correspondence to: *Myunghoon Park 333 Pangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13488, Republic of Korea Tel: +82-31-5179-7267 Fax: +82-31-5179-7086 E-mail: pmh604god@gmail.com

초록

차세대 레이다는 능동전자주사배열 안테나, 디지털 신호처리 및 다기능 운용기술의 발전에 따라 체계 복잡도가 지속적으로 증가하고 있다. 이에 따라 제한된 실물시험만으로 다양한 운용환경과 설계 대안을 충분히 검증하는 데에는 현실적인 한계가 존재하며, 체계개발 전 과정에서 modeling and simulation(M&S)의 활용 필요성이 더욱 증대되고 있다. 그러나 기존 연구는 안테나, 전파환경, 신호처리 및 추적과 같은 개별 기술의 모델 개발에 집중되어 있어 체계 개발 단계별 M&S 적용 기준과 활용 절차를 종합적으로 제시하지 못하고 있다. 본 논문에서는 기존 레이다 M&S 연구 동향을 분석하여 주요 한계를 도출하고, 체계 개발 단계별 의사결정 목적에 적합한 M&S 적용 프레임워크를 제안한다.

Abstract

The increasing complexity of next-generation radar systems, driven by active electronically scanned array technology, advanced digital signal processing, and multifunctional operations, has made it difficult to evaluate system performance solely through physical testing. Consequently, modeling and simulation (M&S) has become an essential engineering tool throughout the system development lifecycle. However, previous studies have primarily focused on individual technical models, such as antenna characteristics, propagation environments, signal processing, and target tracking, while providing limited guidance on how M&S should be systematically applied in radar system development. The aim of this study was to analyze current research trends and identify the limitations of existing radar M&S approaches. To address the identified research gap, an application framework is proposed by associating development phases with decision objectives, M&S scope, model fidelity, validation evidence, and engineering outputs.

Keywords:

Radar System Development, Modeling and Simulation, Digital Engineering, Systems Engineering, Test and Evaluation

키워드:

레이다 체계개발, 모델링 및 시뮬레이션, 디지털 엔지니어링, 시스템 공학, 시험평가

References

Merrill I. Skolnik, Introduction to Radar Systems (3rd ed.), McGraw-Hill, 2001.
Robert J. Mailloux, Phased Array Antenna Handbook (3rd ed.), Artech House, 2018.
ISO/IEC/IEEE 15288:2023, Systems and Software Engineering — System Life Cycle Processes, Geneva, Switzerland: International Organization for Standardization, 2023.
David D. Walden, Thomas M. Shortell, Garry J. Roedler, Bernardo A. Delicado, Odile Mornas, Yew-Seng Yip, David Endler, & INCOSE (Eds.), Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities (5th ed.), Wiley, 2023.
U.S. Department of Defense, DoD Instruction 5000.97: Digital Engineering, 2023.
Jithin Kannanthara, Darren Griffiths, Mohammed Jahangir, Jonathan M. Jones, Chris J. Baker, Michail Antoniou, Colin J. Bell, Henry White, Kai Bongs, & Yeshpal Singh, ‘Whole System Radar Modelling: Simulation and Validation,’ IET Radar, Sonar & Navigation, VOL. 17, NO. 6, 2023, pp. 1050-1060. [https://doi.org/10.1049/rsn2.12399]
Yuhang Liu, Yu Shen, Lili Fan, Yonglin Tian, Yunfeng Ai, Bin Tian, Zhongmin Liu, & Fei-Yue Wang, ‘Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems,’ Sensors, VOL. 22, NO. 24, 2022, Article 9930. [https://doi.org/10.3390/s22249930]
Zoltan Ferenc Magosi, Hexuan Li, Philipp Rosenberger, Li Wan, & Arno Eichberger, ‘A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving,’ Sensors, VOL. 22, NO. 15, 2022, Article 5693. [https://doi.org/10.3390/s22155693]
U.S. Department of Defense, DoD Instruction 5000.61: DoD Modeling and Simulation Verification, Validation, and Accreditation, 2024.
R. G. Sargent, ‘Verification and Validation of Simulation Models,’ Journal of Simulation, VOL. 7, NO. 1, 2013, pp. 12-24. [https://doi.org/10.1057/jos.2012.20]