Tracking and data association
type: Item
instance of: scholarly article
title: Tracking and data association
zbMATH Open document ID: 0634.93001
author: Yaakov Bar-Shalom
author: Thomas E. Fortmann
published in: Mathematics in Science and Engineering
publication date: 1993-06-05T00:00:00Z
review text: The book presents the mathematical tools underlying various algorithms for measurement association and multitarget tracking. These tools rely on techniques of system theory that utilize the state-space model of linear and nonlinear dynamic systems and statistical techniques of estimation and hypothesis testing. The material deals mainly with information processing consisting of data association and state estimation varying from simple parameter estimation through the Kalman filter; manoeuvering targets, multiple targets in clutter. Only the discrete-time case is treated. This material is at the level of a graduate course and it addresses to those interested in computing or dealing with electrical and systems engineering.
Mathematics Subject Classification ID: 93-02
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 62F03
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 192826
zbMATH Keywords: 93EXX
zbMATH Keywords: measurement association
zbMATH Keywords: multitarget tracking
zbMATH Keywords: state-space model
zbMATH Keywords: estimation
zbMATH Keywords: hypothesis testing
zbMATH Keywords: information processing
zbMATH Keywords: data association
reviewed by: Constantin Vârsan
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 192826