Title :
Discrete-time point process filter for mode estimation
Author :
Yang, Chun ; Bar-Shalom, Yaakov ; Lin, Ching-Fang
Author_Institution :
Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
fDate :
11/1/1992 12:00:00 AM
Abstract :
A discrete-time model of an image-based observation channel using point processes is presented in the context of target-tracking improvement. A multidimensional point-process filter was developed to effectively estimate the actual mode of the target in the presence of the clutter. The structure and updating properties of the filter have been studied. The sample behavior and the robustness, with respect to modeling parameters, are illustrated by simulation examples
Keywords :
clutter; filtering and prediction theory; image sensors; motion estimation; parameter estimation; tracking; clutter; discrete-time model; discrete-time point process filter; image-based observation channel; mode estimation; motion estimation; multidimensional point-process filter; parameter estimation; robustness; sample behavior; target-tracking improvement; updating properties; Acceleration; Aircraft; Computed tomography; Image sensors; Neural networks; Optical computing; Optical fiber networks; Optical filters; Optical sensors; Target tracking;
Journal_Title :
Automatic Control, IEEE Transactions on
