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Application of data compression to real-time estimation

Content Provider	IEEE Xplore Digital Library
Author	Bar-Shalom, Y.
Copyright Year	1971
Description	Author affiliation: Systems Control, Inc., Palo Alto, California (Bar-Shalom, Y.)
Abstract	This paper deals with the compression of the data obtained from measurements in real-tome non-linear estimation problems. The purpose is to reduce the data processing requirements. Since data compression is never optimal, one always can expect a certain deterioration in the performance of the estimator when using the compressed data. However, it is shown theoretically that under certain conditions one can preprocess the raw measurement data such that the loss of information (in the sense of Fisher) is minimized. In this case, the estimation performance is practically the same as when no data compression is utilized. A specific application, the tracking of a reentry vehicle with a linearized filter, is discussed in more detail and simulation results are presented. The conditions derived theoretically are satisfied in this case and the results confirm this.
Starting Page	412
Ending Page	416
File Size	408777
Page Count	5
File Format	PDF
DOI	10.1109/CDC.1971.271028
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1971-12-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data compression Real time systems Filters Helium Degradation
Content Type	Text
Resource Type	Article

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