Intelligent Instruments for the Space Plasma Environment

Gough, M. P., Buckley, A. M., Bezerra, E. A., Popoola, B. and Seferiadis, G. (2003) Intelligent Instruments for the Space Plasma Environment. In: Zhou, G., Baysal, O., Kafatos, M. and Yang, R. (eds.) Real-time Information Technology for Future Intelligent Earth Observing Satellites. Hierophates, Pennsylvania, USA, pp. 123-130. ISBN 097279400X

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Abstract

The work of the Space Science Centre at the University of Sussex in the development of intelligent space plasma instruments is presented here. Previously the Centre has included various intelligent techniques within space instruments flown on a number of space missions. A neural network was included in the SPREE instruments flown on Shuttle flights STS-46 (1992), and STS-75 (1996). Fuzzy Logic control of telemetry compression and buffering was designed for the ELISMA instrument on MARS-96. Sussex pioneered the use of particle correlation via hardware and software processing as a means of studying plasma wave-particle interactions using particle detection pulses within particle sensors, (AMPTE UKS, CRRES, STS-46, STS-75, ESA Cluster II, and auroral sounding rockets). Large interacting arrays of microprocessors were employed to provide processing for the above activities (e.g. 20 separate processors were used within SPREE). Also fault-tolerant arrays of processors were designed for the MARS-96 ELISMA instrument. Current research at the Space Science Centre concentrates on the development of flexible space instruments compatible with on-board intelligence and on increased use of Field Programmable Gate Arrays, FPGA, for fast real-time implementations of dedicated complex algorithms. For example real-time plasma simulations of the spacecraft's plasma environment are being implemented in FPGA with local measurements used directly as input parameters. These simulations can then be used to optimise instantaneous instrument parameters and, most significantly, by comparing simulation results with actual measured parameters concentrate data transmission on phenomena whose physics is least understood.

Item Type: Book Section
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > QB Astronomy
Q Science > QC Physics
Depositing User: Chris Keene
Date Deposited: 22 Feb 2008
Last Modified: 30 Nov 2012 16:51
URI: http://sro.sussex.ac.uk/id/eprint/1361
Google Scholar:1 Citations

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