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Proceedings Paper

Multiresolutional distributed filtering and prediction for sensor integration
Author(s): Erik P. Blasch
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Paper Abstract

The paper investigates an algorithm for dynamic multi- resolutional distributed prediction and filtering for target tracking. The algorithm incorporates a wavelet transform for integrating sensor signals at different resolution levels. Simulating the performance of an aircraft pilot; comparisons for real-time and semi-real-time performances are conducted for tracking situations in which a pilot makes decisions incremental or after waiting for a history of information respectively. By predicting from learned experiences and filtering current multi-resolutional data achieves optimal filtering control under dynamic uncertainty.

Paper Details

Date Published: 26 March 1998
PDF: 10 pages
Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); doi: 10.1117/12.304866
Show Author Affiliations
Erik P. Blasch, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 3391:
Wavelet Applications V
Harold H. Szu, Editor(s)

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