By Topic

Sampled-Data Prediction for Telemetry Bandwidth Compression

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Medlin, James E. ; Lockheed Missiles and Space Company, Sunnyvale, Calif.

A portion of an exploratory investigation conducted recently at Lockheed Missiles and Space Company, Sunnyvale, Calif., into the comparative effectiveness of various prediction techniques for data compression is described. The comparisons were made by simulation with an IBM 7094 digital computer with the use of approximately 150,000 samples of actual vehicle telemetry data received during a typical satellite launching, in addition to synthetic telemetry data. The compression techniques discussed employed zero-, first-, and second-order polynomial predictors, or modifications thereof. The results showed that one of the zero-order techniques (one which would be relatively simple to implement) was the most effective in removing redundancy from the data. Although these data were somewhat limited both in scope and quantity, the results tend to support the oft-repeated objection to polynomial predictors that an inordinate amount of emphasis is given to sample points far removed from the point to be predicted, compared to that afforded the most recent samples.

Published in:

Space Electronics and Telemetry, IEEE Transactions on  (Volume:SET-11 ,  Issue: 1 )