A Regression Application for Conversion of Static Missile Signature to Dynamic Missile Signature

Abstract

The UV (ultraviolet) based sensors identify the missiles with an algorithm that it runs by visually detecting the UV signature of the hot missile exhaust and extracting the threat features from these images. These features can be used in algorithm improvements by measuring with UV sensors placed on the ground projection of the missile flight route in live missile tests where missiles are fired to a hot target. However, live missile tests are difficult and costly processes. In addition, it is not possible to take measurements with UV sensors from every angle and range required in these tests. For these reasons, it is important to convert the UV signatures obtained as a result of firing the stationary missile engine in a suitable environment into missile signatures approaching towards the UV sensors. Within the scope of this study, the regression studies aimed to convert the UV signatures (static missile signature) taken from the fixed engine burning tests of various missiles into the UV signatures (dynamic missile signature) of the missiles approaching towards the UV sensors are summarized.