Use of the radial velocity measurement in target tracking

Author

Wang, Jianguo ; He, Peikun ; Long, Teng

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol., China

Volume

39

Issue

2

fYear

2003

fDate

4/1/2003 12:00:00 AM

Firstpage

401

Lastpage

413

Abstract

A new sequential filtering algorithm that incorporates the radial velocity measurement into a Kalman filter, in the presence of correlated range and radial velocity measurement errors, is presented. An analysis is given concerning its asymptotic behavior on the basis of analysis of its stochastic controllability and observability. The simulation results verify the analysis and show that the new algorithm is superior to the conventional extended Kalman filter (EKF) and close to an ideal filter.

Keywords

Kalman filters; measurement errors; observability; radar tracking; stability; stochastic processes; target tracking; tracking filters; velocity measurement; EKF; asymptotic algorithm behavior; correlated range/radial velocity measurement errors; extended Kalman filters; ideal filters; observability; radar target tracking systems; sequential filtering algorithms; stochastic controllability; stochastic stability; target tracking radial velocity measurement; Controllability; Covariance matrix; Equations; Filtering algorithms; Filters; Measurement errors; Observability; Position measurement; Target tracking; Velocity measurement;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2003.1207253

Filename

1207253