Small research projects need to test and compare their results to a realistic and complex situation. This project will develop a testbed that will effectively simulate real situations. The testbed consists of a set of algorithms, which can take a few observations and predict future positions of the target. The study will develop and analyze models of ir sensors, the background, and clutter. The project will create the models with a parallel processor. Hence, the project will advance parallel processing state-of-the-art. It will also improve ir tracking of targets. The project will enhance simulation, assessing low signal-to-noise effects, range effects, and target signatures. The simulation will look at different backgrounds, taking into account correlated noise, modulation of the signal, and false signals. It will also examine sensors, optical effects, distortions of information, and correlated noise superimposed on detected signals. The testbed can aid other government programs, including the air defense initiative (adi) and anti-satellite weapons (asat).
