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http://dx.doi.org/10.11627/jkise.2018.41.2.074

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

Lee, Moon Gul (Department of Operation Research, Korea National Defence University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.41, no.2, 2018 , pp. 74-83 More about this Journal
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
Anti-Artillery Radar; Allocation Model; ArcGIS; Optimal Coverage;
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Times Cited By KSCI : 1  (Citation Analysis)
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