الفهرس | Only 14 pages are availabe for public view |
Abstract The use of scientific methods to enhance the effectiveness and success of military operations has originated and existed in the ancient history and such use has been increased throughout time leading to the extensive use of technology in modern warfare. As a result, technological competence becomes one of the most important attributes of military commanders in modern warfare. Air defense plays important role in modern warfare, and its importance increases day after day, as the current trends in modern warfare tends to rely heavily on air superiority to achieve the conflict objectives. Such trend exposes itself obviously in the last 4 conflicts. Due to this trend, technological development in military focuses on the development of aircraft fighters with: 1) advanced stealth capabilities making it harder for the air defense to detect. 2) better beyond visual range (BVR) combat capabilities which increases the fighter capability to suppress air defense systems and to have the upper hand in any air combat engagement with other fighters with less capabilities in BVR, and 3) longer operational range and combat radius. Also advances in other airborne platforms, like cruise missiles, and precision guided ammunition have been cited. Such shifts in warfare strategies present great challenges to air defense that affect its efficiency in playing its prescribed role in battlefield successfully. One way to compensate for such effect is to constantly perform testing of the deployed air defense network against possible threats which may include newly emerged types of weapons and technology. Yet limited defense budget and the lack of availability of actual platforms of certain new weapons prevent the possibility of using real life maneuvers to perform such testing continuously. As a result, it seems that the most appropriate approach is the use of computer modeling and simulation techniques to model and simulate possible air defense mission scenarios with acceptable accuracy and level of detail. One of the objectives of this thesis is to develop an air defense mission scenario simulator (ADMSS) that can serve as a solid ground, above which various analysis modules can be built. Given the distribution and configurations of the air defense scenario assets and entities, the simulator should be able to deduce the expected damage inflicted on the attacking platforms, defended assets and the AD network assets, and the percentage of the completed objectives for both the attacking and defending forces from the simulation. Also the simulator should provide 3D visualization of the AD mission scenario and its events. Another objective is to propose a doctrine to efficiently iv handle the Weapon-Target Assignment (WTA) problem which has been proven to be NPComplete problem. The last objective is to propose an algorithm for analyzing the suitability of ground locations in a terrain profile map for establishing radar station with respect to minimum radar signal clutter due to terrain masking. In this thesis, a description of the developed ADMS simulator is given indicating the way various scenario entities, processes and events are modeled, simulated and visualized. Also a new approach for tackling the WTA problem is proposed. Such approach is a novel goal based system. The proposed novel approach combines state of the art goal-based optimization approach and the Hungarian method to preserve good performance under different AD mission configurations. The proposed algorithm has the best performance when compared with other WTA doctrines. A method is proposed for analyzing a given height map representing a terrain profile in order to estimate locations quality and suitability to build radar station with given configurations. Such method is applied on Sinai Peninsula height map to estimate the best locations for building typical medium range radar station. A visualization of the analysis result is generated and shown. |