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Related Experiment Video

Updated: Jun 12, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Factorized extended Kalman filter: case study results.

J L Fisher, D P Casasent, C P Neuman

|June 10, 2010

Summary

This summary is machine-generated.

This study presents simulation results for an optical factorized extended Kalman filter. Minimum word lengths for accurate tracking and computation times were determined for optical implementations.

Related Experiment Videos

Last Updated: Jun 12, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Area of Science:

Optical engineering
Signal processing
Control systems

Background:

The extended Kalman filter (EKF) is a widely used algorithm for state estimation in nonlinear systems.
Optical implementations offer potential advantages in speed and parallelism for complex computations.
Factorized forms of the EKF can improve computational efficiency and numerical stability.

Purpose of the Study:

To present simulation results for an optical realization of a factorized extended Kalman filter algorithm.
To empirically determine the minimum word lengths required for accurate state tracking in this optical EKF.
To quantify the computation times associated with the proposed optical realization.

Main Methods:

Simulations were conducted to model an optical implementation of the factorized extended Kalman filter.
Empirical analysis was performed to establish the relationship between word length and tracking accuracy.
Timing measurements were taken to assess the computational performance of the optical system.

Main Results:

The study successfully simulated an optical factorized extended Kalman filter.
Minimum word lengths necessary for achieving accurate tracking were identified through empirical determination.
Computation times for the optical realization were quantified, providing performance benchmarks.

Conclusions:

Optical factorized extended Kalman filters are feasible and can be simulated effectively.
Understanding the minimum word length requirements is crucial for designing accurate optical tracking systems.
The quantified computation times provide valuable data for the practical implementation of optical EKF.