VLSI Architectures For Square Root Covariance Kalman Filtering

Fiona Gaston; George Irwin

doi:10.1117/12.962264

14 November 1989 VLSI Architectures For Square Root Covariance Kalman Filtering

Fiona Gaston, George Irwin

Proceedings Volume 1152, Advanced Algorithms and Architectures for Signal Processing IV; (1989) https://doi.org/10.1117/12.962264
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

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.

Citation Download Citation

Fiona Gaston and George Irwin "VLSI Architectures For Square Root Covariance Kalman Filtering", Proc. SPIE 1152, Advanced Algorithms and Architectures for Signal Processing IV, (14 November 1989); https://doi.org/10.1117/12.962264

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available