Grant Privett, Defence Science & Technology Laboratory, Simon George, Defence Science & Technology Laboratory, William Feline, Defence Science & Technology Laboratory, Andrew Ash, Defence Science & Technology Laboratory, Graham Routledge, Defence Science & Technology Laboratory
Keywords: Track identification, autonomous processing, catalogue maintenance
Abstract:
The UK’s National Space and Security Policy states that the identification of potential on-orbit collisions and re-entry warning over the UK is of high importance, and is driving requirements for indigenous Space Situational Awareness (SSA) systems. To meet these requirements options are being examined, including the creation of a distributed network of simple, low cost commercial–off-the-shelf electro-optical sensors to support survey work and catalogue maintenance. This paper outlines work at Dstl examining whether data obtained using readily-deployable equipment could significantly enhance UK SSA capability and support cross-cueing between multiple deployed systems.
Date of Conference: September 19-22, 2017
Track: Space Situational Awareness