Multiresolutional distributed filtering and prediction for sensor integration

Erik P. Blasch

doi:10.1117/12.304866

26 March 1998 Multiresolutional distributed filtering and prediction for sensor integration

Erik P. Blasch

Proceedings Volume 3391, Wavelet Applications V; (1998) https://doi.org/10.1117/12.304866
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Erik P. Blasch "Multiresolutional distributed filtering and prediction for sensor integration", Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); https://doi.org/10.1117/12.304866

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