DocumentCode :
2511450
Title :
Parallel implementations of Kalman filters for tracking applications onto transputer networks
Author :
White, B.A. ; El-Mahy, M.K.
Author_Institution :
R. Mil. Coll. of Sci., Shrivenham, UK
fYear :
1994
fDate :
24-26 Aug 1994
Firstpage :
1073
Abstract :
A coordinate system frame is described for manoeuvring target motion. Using the Cartesian coordinate frame system, target motion is described in a simple form with the measurements in polar coordinates. An extended Kalman filter (EKF) or second-order Gaussian filter (SOGF) is used according to the frame reference to estimate the kinematic components of the manoeuvring targets (i.e. position, velocity and acceleration) from noisy measurements. The paper derives the sequential EKF and SOGF tracking algorithms when the range rate measurements are available and investigates the parallel implementation for these algorithms onto a range of transputer topologies to enable practical realisations. Real-time implementation results are presented and the relative speedup and efficiency are calculated to evaluate the performance of each parallel implementation
Keywords :
Kalman filters; filtering theory; parallel processing; target tracking; tracking filters; transputer systems; transputers; Cartesian coordinate frame system; Kalman filters; extended Kalman filter; frame reference; kinematic components; manoeuvring target motion; noisy measurements; parallel implementations; polar coordinates; second-order Gaussian filter; tracking applications; transputer networks; transputer topologies; Filtering; Kalman filtering; Microprocessors; Parallel processing; Tracking filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-1872-2
Type :
conf
DOI :
10.1109/CCA.1994.381365
Filename :
381365
Link To Document :
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