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A Radar Performance Model for Mission Analyses of Missile Models

유도무기 임무 분석을 위한 레이더 성능 모델

  • Kim, Jingyu (The 1st Research and Development Institute, Agency for Defense Development) ;
  • Woo, S.H. Arman (The 1st Research and Development Institute, Agency for Defense Development)
  • 김진규 (국방과학연구소 제1기술연구본부) ;
  • 우상효 (국방과학연구소 제1기술연구본부)
  • Received : 2017.01.20
  • Accepted : 2017.11.24
  • Published : 2017.12.05

Abstract

In M&S, radar model is a software module to identify position data of simulation objects. In this paper, we propose a radar performance model for simulations of air defenses. The previous radar simulations are complicated and difficult to model and implement since radar systems in real world themselves require a lot of considerations and computation time. Moreover, the previous radar simulations completely depended on radar equations in academic fields; therefore, there are differences between data from radar equations and data from real world in mission level analyses. In order to solve these problems, we firstly define functionality of radar systems for air defense. Then, we design and implement the radar performance model that is a simple model and deals with being independent from the radar equations in engineering levels of M&S. With our radar performance model, we focus on analyses of missions in our missile model and being operated in measured data in real world in order to make sure of reliability of our mission analysis as much as it is possible. In this paper, we have conducted case studies, and we identified the practicality of our radar performance model.

Keywords

References

  1. Jingyu Kim, "Design of the Radar Performance Model for Mission analyses of Missile Models," KIMST Fall Conference Proceedings, pp. 447-448, 2016.
  2. Jingyu Kim, “HLA/RTI based on the Simulation Composition Technology,” Journal of the KIMST, Vol. 19, No. 2, pp. 244-251, 2016.
  3. BAE SYSTEMS, SADM-AE USER'S Guide, Vol. 1: Theory, Australia Ltd. 2012.
  4. Bassem R. Mahafza, Radar System Analysis and Design Using MATLAB, CHAPMAN & HALL/CRC, 2000.
  5. Sandwell, David T., Reference Earth Model-WGS84, 2002(accessed via topex.ucse.edu/geodynamics/).
  6. U. S. Naval Research Laboratory, SIMDIS User Manual. Visualization System Integration Section. Code 5773, 2012.
  7. The MathWorks, Mapping Toolbox For Use with MATLAB, User's Guide Version 2, The MathWorks Inc., 2004.
  8. Roger Aarenstrup, Managing Model-Based Design, The MathWorks Inc, 2015.
  9. M. D. Pretty, R. W. Franceschini, J. Panagos, "Multi-Resolution Combat Modeling," In Engineering Principles of Combat Modeling and Distributed Simulation, Edited by A. Tolk, pp. 607-640, John Wiley & Sons, 2012.
  10. Morris R. Driels, "Introduction to Statistical Methods," In Weaponeering Conventional Weapon System Effectiveness, Second Edition, America Institute of Aeronautics and Astronautics(AIAA), 2013.
  11. Teledyne Brown Engineering Inc., User's Manual EXTENTED AIR DEFENSE SIMULATION (EADSIM), Ver. 16.00, 2010.