Technical Description of a Novel Sensor Network Architecture and Results of Radar and Optical Sensors contributing to a UK Cueing Experiment

Darcy Ladd, Science and Technology Facilities Council, Richard Reeves, Science and Technology Facilities Council, Emal Rumi, Science and Technology Facilities Council, Mike Trethewey, Control Loop Concepts Limited, Mark Fortescue, Control Loop Concepts Limited, Graham Appleby, NERC Space Geodesy Facility, Matt Wilkinson, NERC Space Geodesy Facility, Rob Sherwood, NERC Space Geodesy Facility, Andy Ash, Defence Science and Technology Laboratory, Craig Cooper, Defence Science and Technology Laboratory, Paul Rayfield, Defence Science and Technology Laboratory

Keywords: Radar, optical, network, cueing

Abstract:

The Science and Technology Facilities Council (STFC), Control Loop Concepts Limited (CL2), Natural Environment Research Council (NERC) and Defence Science and Technology Laboratory (DSTL), have recently participated in a campaign of satellite observations, with both radar and optical sensors, in order to demonstrate an initial network concept that enhances the value of coordinated observations. STFC and CL2 have developed a Space Surveillance and Tracking (SST) server/client architecture to slave one sensor to another. The concept was originated to enable the Chilbolton radar (an S-band radar on a 25 m diameter fully-steerable dish antenna called CASTR – Chilbolton Advanced Satellite Tracking Radar) which does not have an auto-track function to follow an object based on position data streamed from another cueing sensor. The original motivation for this was to enable tracking during re-entry of ATV-5, a highly manoeuvrable ISS re-supply vessel. The architecture has been designed to be extensible and allows the interface of both optical and radar sensors which may be geographically separated. Connectivity between the sensors is TCP/IP over the internet. The data transferred between the sensors is translated into an Earth centred frame of reference to accommodate the difference in location, and time-stamping and filtering are applied to cope with latency. The server can accept connections from multiple clients, and the operator can switch between the different clients. This architecture is inherently robust and will enable graceful degradation should parts of the system be unavailable. A demonstration was conducted in 2016 whereby a small telescope connected to an agile mount (an EO tracker known as COATS – Chilbolton Optical Advanced Tracking System) located 50m away from the radar at Chilbolton, autonomously tracked several objects and fed the look angle data into a client. CASTR, slaved to COATS through the server followed and successfully detected the objects. In 2017, the baseline was extended to 135 km by developing a client for the SLR (satellite laser ranger) telescope at the Space Geodesy Facility, Herstmonceux. Trials have already demonstrated that CASTR can accurately track the object using the position data being fed from the SLR.

Date of Conference: September 19-22, 2017

Track: Poster

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