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Optimal Allocation Model of Anti-Artillery Radar by Using ArcGIS and its Specifications

지형공간정보와 제원 특성을 적용한 대포병레이더 최적배치모형

  • Lee, Moon Gul (Department of Operation Research, Korea National Defence University)
  • Received : 2018.01.08
  • Accepted : 2018.06.07
  • Published : 2018.06.30

Abstract

It is very crucial activities that Korean army have to detect and recognize enemy's locations and types of weapon of their artillery firstly for effective operation of friendly force's artillery weapons during wartime. For these activities, one of the most critical artillery weapon systems is the anti-artillery radar (hereafter; radars) for immediate counter-fire operations against the target. So, in early wartime these radar's roles are very important for minimizing friendly force's damage because arbiters have to recognize a several enemy's artillery positions quickly and then to take an action right away. Up to date, Republic of Korea Army for tactical artillery operations only depends on individual commander's intuition and capability. Therefore, we propose these radars allocation model based on integer programming that combines ArcGIS (Geographic Information System) analysis data and each radar's performances which include allowable specific ranges of altitude, azimuth (FOV; field of view) and distances for target detection, and weapons types i.e., rocket, mortars and cannon ammo etc. And we demonstrate the effectiveness of their allocation's solution of available various types of radar asset through several experimental scenarios. The proposed model can be ensured the optimal detection coverage, the enhancement of artillery radar's operations and assisting a quick decision for commander finally.

Keywords

References

  1. Choi, M.J. and Lee, S.H., Stochastic Maximal Covering Location Problem with Floating Population, Korean Operations Research, 2009, Vol. 1, No. 26, pp. 197-208.
  2. Choi, Y.B. and Kim, K.S., Algorithm for Fire Sequencing Problem in Unplanned Artillery Attack Operation, Journal of Society of Korea Industrial and Systems Engineering, 2012, Vol. 35, No. 2, pp. 37-44.
  3. Church, R.L. and Revelle, C.S., The Maximal Covering Location Problem, Papers of the Regional Science Association, 1974, Vol. 32, No. 1, pp. 101-118. https://doi.org/10.1007/BF01942293
  4. Church, R.L. and Schilling, D., Application of the location set covering problem, Geographical Analysis, 1976, Vol. 8, No. 1, pp. 65-76. https://doi.org/10.1111/j.1538-4632.1976.tb00529.x
  5. Daskin, M.S., A maximal expected covering location model : Formulation properties and heuristic solution, Transportation Science, 1983, Vol. 17, No. 1, pp. 48-69. https://doi.org/10.1287/trsc.17.1.48
  6. Daskin, M.S., Application of an expected covering location model to emergency medical service system design, Decision Sciences, 1982, Vol. 13, pp. 416-439. https://doi.org/10.1111/j.1540-5915.1982.tb00159.x
  7. Downs, B.T. and Camm, J.D., An Exact Algorithm for the Maximal Covering Problem, Naval Research Logistics, 1996, Vol. 43, No. 3, pp. 435-461. https://doi.org/10.1002/(SICI)1520-6750(199604)43:3<435::AID-NAV8>3.0.CO;2-A
  8. Education Command of Army, Anti-Artillery Radar Operation, Technical Manual, 17-4-3, 2010.
  9. Galvao, R. and Revelle, C., A comparison of Lagrangian and surrogate relaxation for the maximal covering location problem, EJOR, 2000, Vol. 124, pp. 377-389. https://doi.org/10.1016/S0377-2217(99)00171-X
  10. Headquarter of Army, Field Manual 34-6 : Terrain Intelligence Support, 2012.
  11. Headquarter of US Army, Field Manual 3-09.12 : Tactics, Techniques, and Procedures for Field Artillery Target Acquisition, 2015.
  12. Jung, C.Y., Lee, J.Y., and Lee, S.H., An Optimal Missile Allocation Problem for Maximizing Kill Probability, Journal of the Korean Operations Research and Management Science Society, 2010, Vol. 27, No. 1, pp. 75-90.
  13. Kim, D.I. and Han, O., The study of preservation natural environment of military operations and training region, paper of hwarang research, 2000.
  14. Kim, G.Y., Song, C.H., and Kim, S.I., Allocation problem of fire station in capital area, Korea Metropolitan Planning Association, 2003, Vol. 3, No. 8, pp. 317-324.
  15. Kim, J.G. and Seol, H.J., The Optimal Deployment Problem of Air Defense Artillery for Missile Defense, Journal of society of Korea Industrial and Systems Engineering, 2016, Vol. 39, No. 1, pp. 98-104. https://doi.org/10.11627/jkise.2016.39.1.098
  16. Lee, J.Y. and Kwak, K.H., The Optimal Allocation Model for SAM Using Multi-Heuristic Algorithm : Focused on Theater Ballistic Missile Defense, IE Interface, 2008, Vol. 21, No. 3, pp. 262-273.
  17. Lee, Y.I. and Hong, S., Method on Constructing Precision Population-statistical Map Integrating GIS and National Census Data for Location Analysis, Journal of the Korea Academia-Industrial Cooperation Society, 2009, Vol. 10, No. 11, pp. 3302-3307. https://doi.org/10.5762/KAIS.2009.10.11.3302
  18. Oh, K.D., Hong, I.P., Jun, B.H., Ahn, W.S., and Lee, M.Y., Evaluation of GIS-base Landslide Hazard Mapping, Journal of Korea Water Resources Association, 2006, Vol. 1, No. 39, pp. 23-33.
  19. Shilling, D.A., Revell, C., Cohon, J., and Elzinga, D.J., Some models for fire protection locational decisions, EJOR, 1980, Vol. 5, No. 1, pp. 1-7. https://doi.org/10.1016/0377-2217(80)90067-3

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