Systolic Architecture For Extended Kalman Filtering

Timothy C. Phillips; Ralph Fabrizio

doi:10.1117/12.942012

21 January 1988 Systolic Architecture For Extended Kalman Filtering

Timothy C. Phillips, Ralph Fabrizio

Proceedings Volume 0826, Advanced Algorithms and Architectures for Signal Processing II; (1988) https://doi.org/10.1117/12.942012
Event: 31st Annual Technical Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, San Diego, CA, United States

Abstract

Extended Kalman filtering provides for non-linearities in the equations of motion by propagating the state per a differential equation. For the predictor part of the Kalman filter, the Runge-Kutta differential equation solver can be used to extrapolate each new state numerically. This paper explores the systolic implementation of the Runge-Kutta algorithm. For the corrector part of the Kalman filter, this paper outlines an ESL realization of a systolic array backsolver.

Citation Download Citation

Timothy C. Phillips and Ralph Fabrizio "Systolic Architecture For Extended Kalman Filtering", Proc. SPIE 0826, Advanced Algorithms and Architectures for Signal Processing II, (21 January 1988); https://doi.org/10.1117/12.942012

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