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Proceedings Paper

An intelligent onboard signal processing payload concept
Author(s): Patrick Shriver; Jayashree Harikumar; Scott D. Briles; Maya Gokhale
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Paper 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.

Paper Details

Date Published: 5 August 2003
PDF: 12 pages
Proc. SPIE 5088, Space Systems Technology and Operations, (5 August 2003); doi: 10.1117/12.486349
Show Author Affiliations
Patrick Shriver, Los Alamos National Lab. (United States)
Jayashree Harikumar, Los Alamos National Lab. (United States)
Scott D. Briles, Los Alamos National Lab. (United States)
Maya Gokhale, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 5088:
Space Systems Technology and Operations
Peter Tchoryk; James Shoemaker, Editor(s)

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