DocumentCode
3005661
Title
Parallel implementation of the tracking Kalman filter
Author
Lee, Edward K B ; Haykin, Simon
Author_Institution
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
fYear
1988
fDate
11-14 Apr 1988
Firstpage
2092
Abstract
A parallel implementation of the extended Kalman filter (KF) for target tracking systems is presented. The decoupling technique is utilized to reduce computational requirements and to increase parallelism. Also, the properties of matrices in the tracking KF are exploited to simplify the implementation complexity
Keywords
Kalman filters; matrix algebra; signal processing; tracking systems; computational requirements; decoupling technique; implementation complexity; matrices; parallel implementation; signal processing; target tracking systems; tracking Kalman filter; Azimuth; Concurrent computing; Coordinate measuring machines; Covariance matrix; Filtering; Jacobian matrices; Parallel processing; Sparse matrices; State estimation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location
New York, NY
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1988.197043
Filename
197043
Link To Document