Multiresolutional distributed filtering and prediction for sensor integration
Erik Blasch · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
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.