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Parallel implementation of the tracking Kalman...

Parallel implementation of the tracking Kalman filter

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.<>

Authors

Lee EKB; Haykin S

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 1988

DOI

10.1109/icassp.1988.197043

Name of conference

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing

Conference proceedings

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

ISSN

1520-6149

Associated Experts

Simon Haykin

Professor Emeritus, Faculty of Engineering

Labels

Fields of Research (FoR)

4901 Applied Mathematics 40 Engineering 49 Mathematical Sciences 4001 Aerospace Engineering

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