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Proceedings Paper

VLSI Architectures For Square Root Covariance Kalman Filtering
Author(s): Fiona Gaston; George Irwin
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Paper Abstract

Two new systolic architectures for square root covariance Kalman filtering are presented. Both utilise a triangular array for QR decomposition with Givens rotations but achieve the state update in different ways. The new architectures compare favourably with those recently published in the literature.

Paper Details

Date Published: 14 November 1989
PDF: 12 pages
Proc. SPIE 1152, Advanced Algorithms and Architectures for Signal Processing IV, (14 November 1989); doi: 10.1117/12.962264
Show Author Affiliations
Fiona Gaston, The Queen's University (Ireland)
George Irwin, The Queen's University (Ireland)

Published in SPIE Proceedings Vol. 1152:
Advanced Algorithms and Architectures for Signal Processing IV
Franklin T. Luk, Editor(s)

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