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

Volume

37

Issue

11

fYear

1992

fDate

11/1/1992 12:00:00 AM

Firstpage

1812

Lastpage

1816

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;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.173157

Filename

173157