26 March 1998 Multiresolutional distributed filtering and prediction for sensor integration
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik P. Blasch, "Multiresolutional distributed filtering and prediction for sensor integration", Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); doi: 10.1117/12.304866; https://doi.org/10.1117/12.304866
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