Paper
5 August 2003 An intelligent onboard signal processing payload concept
Patrick Shriver, Jayashree Harikumar, Scott D. Briles, Maya Gokhale
Author Affiliations +
Abstract
Our approach to onboard processing will enable a quicker return and improved quality of processed data from small, remote-sensing satellites. We describe an intelligent payload concept which processes RF lightning signal data onboard the spacecraft in a power-aware manner. Presently, onboard processing is severely curtailed due to the conventional management of limited resources and "power-unaware" payload designs. Delays of days to weeks are commonly experienced before raw data is received, processed into a human-usable format, and finally transmitted to the end-user. We enable this resource-critical technology of onboard processing through the concept of Algorithm Power Modulation (APM). APM is a decision process used to execute a specific software algorithm, from a suite of possible algorithms, to make the best use of the available power. The suite of software algorithms chosen for our application is intended to reduce the probability of false alarms through post-processing. Each algorithm however also has a cost in energy usage. A heuristic decision tree procedure is used which selects an algorithm based on the available power, time allocated, algorithm priority, and algorithm performance. We demonstrate our approach to power-aware onboard processing through a preliminary software simulation.
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Patrick Shriver, Jayashree Harikumar, Scott D. Briles, and Maya Gokhale "An intelligent onboard signal processing payload concept", Proc. SPIE 5088, Space Systems Technology and Operations, (5 August 2003); https://doi.org/10.1117/12.486349
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KEYWORDS
Signal processing

Space operations

Data processing

Data modeling

Satellites

Monte Carlo methods

Algorithm development

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