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An Investigation into the Possibility of Numerical Ephemeris Extension for GPS

In this report we investigate the possibility of a purely numerical extrapolation of parameters to extend the period of validity of any given set of GPS ephemeris parameters.

Calibration of the DST Group Research Wind Tunnel Pressure Rings

In this report, a calibration of the pressure rings in the DST Group Research Wind Tunnel was performed for an empty test section and with an elevated ground plane installed.

An Intermittent Sensor versus a Target that Emits Glimpses as a Homogenous Poisson Process

This technical note considers a sensor that alternates randomly between working and broken versus a target that reluctantly gives away glimpses as a homogenous Poisson process.

An Investigation into the Possibility of Numerical Ephemeris Extension for GPS

The possibility of a purely numerical extrapolation of parameters to extend the period of validity of any given set of GPS ephemeris parameters is investigated in this report.

Expressing Sensor Maturity in Terms of Information Fusion: Re-defining Non-Traditional Sensing

This paper explores the definition of non-traditional sensing (NTS), some of the technologies that are typically associated with NTS and, ultimately, questions the need for NTS as a concept.

An Azimuth Elevation Survey of DST Group Edinburgh 71 Labs Platform

This report presents the findings of an azimuth elevation survey to determine the minimum safe elevations for antenna pointing and signal transmission.

Asymptotic Distribution of Rewards Accumulated by Alternating Renewal Processes

This technical note considers processes that alternate randomly between 'working' and 'broken' over an interval of time.

A Guide to the DST Airglow Database

This report describes the DST airglow database composed of measurements taken primarily over DST Edinburgh in South Australia from March 2012 to December 2016.

Variable Discretisation for Anomaly Detection using Bayesian Networks

Anomaly detection is the process by which low probability events are automatically found against a background of normal activity. This report discusses an algorithm that generates a set of states that ensure that low probability data values can be represented.

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