Interval models for target tracking algorithms

TL;DR: In this paper, two approaches for 2D rigid-body target modelling are proposed for joint ground moving-target tracking identification, which effectively explore the concepts of local and global motions of a rigid body.

TL;DR: This paper presents an optimal approach to solve the target tracking problem in three-dimesional space by defining the problem as an optimization problem and then solving it as a minimization problem.

TL;DR: Brief review of linear algebra and linear systems brief review of probability theory and statistics some basic concepts in estimation linear estimation in static systems linear dynamic systems with random inputs state estimation in discrete-timelinear dynamic systems estimation for Kinematic models.

TL;DR: This paper presentsractical Aspects of Multisensor Tracking, and an Engineer's Guide to Variable-Structure Multiple-Model Estimation for Tracking.

TL;DR: In this paper, the feasibility of a moving-bank multiple model adaptive estimator/controller was examined and five different adaptive controller algorithms were developed and compared to each other and to a benchmark filter with artificial knowledge of the "true" parameter value.

TL;DR: An algorithm for optimal and dynamic multiresolutional distributed filtering is derived and the wavelet transform is utilized as a bridge linking signals at different resolution levels.