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Mathematical Problems in Engineering
Volume 2017, Article ID 8157319, 8 pages
https://doi.org/10.1155/2017/8157319
Research Article

Simulation-Based Early Prediction of Rocket, Artillery, and Mortar Trajectories and Real-Time Optimization for Counter-RAM Systems

Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg, Institute of Automation Technology, Chair of Measurement and Information Technology, Holstenhofweg 85, 22043 Hamburg, Germany

Correspondence should be addressed to Arash Ramezani; ed.hh-ush@inazemar

Received 30 January 2017; Accepted 2 July 2017; Published 7 August 2017

Academic Editor: Marcello Vasta

Copyright © 2017 Arash Ramezani and Hendrik Rothe. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The threat imposed by terrorist attacks is a major hazard for military installations, for example, in Iraq and Afghanistan. The large amounts of rockets, artillery projectiles, and mortar grenades (RAM) that are available pose serious threats to military forces. An important task for international research and development is to protect military installations and implement an accurate early warning system against RAM threats on conventional computer systems in out-of-area field camps. This work presents a method for determining the trajectory, caliber, and type of a projectile based on the estimation of the ballistic coefficient. A simulation-based optimization process is presented that enables iterative adjustment of predicted trajectories in real time. Analytical and numerical methods are used to reduce computing time for out-of-area missions and low-end computer systems. A GUI is programmed to present the results. It allows for comparison between predicted and actual trajectories. Finally, different aspects and restrictions for measuring the quality of the results are discussed.