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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.197043
