26 March 1998 Multiresolutional distributed filtering and prediction for sensor integration
Author Affiliations +
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


Tracking clusters and extended objects with multiple sensors
Proceedings of SPIE (October 01 1990)
Coefficient denoising method with wavelet transform
Proceedings of SPIE (October 26 1999)
Fast algorithm of Hoteling basis construction
Proceedings of SPIE (October 01 1998)
On categorical feature-aided target tracking
Proceedings of SPIE (January 05 2004)
Track covariance consistency compensation performance
Proceedings of SPIE (September 04 2009)

Back to Top