Information type filters for tracking a maneuvering target

Author

Farooq, M. ; Bruder, S.

Author_Institution

Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada

Volume

26

Issue

3

fYear

1990

fDate

5/1/1990 12:00:00 AM

Firstpage

441

Lastpage

454

Abstract

Two previously proposed adaptive covariance-type Kalman filtering techniques for tracking maneuvering targets (see Y.T. Chan et al. ibid., p.237-44, Mar. 1979, and Z. Tang et al. Report, Department of Electrical and Computer Engineering, Oregon State University, Corvallis, Oct. 1983) are developed further to utilize the information-type Kalman filter. These adaptive information-type filters are described in structurally decoupled forms, thereby greatly reducing the computational requirements while rendering the filters amenable to implementation on parallel processors. A coherent decision procedure for including partial coupling when necessary is developed via offline analysis of crosscorrelation functions

Keywords

Kalman filters; computerised signal processing; filtering and prediction theory; parallel processing; tracking; adaptive covariance-type Kalman filtering; coherent decision; crosscorrelation functions; maneuvering target; offline analysis; parallel processors; partial coupling; structurally decoupled forms; tracking; Adaptive filters; Concurrent computing; Delay estimation; Information filtering; Information filters; Kalman filters; Military computing; Motion estimation; Stochastic systems; Target tracking; Time measurement;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.106121

Filename

106121