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eess.SY2021
Time Dependence in Kalman Filter Tuning
Zhaozhong Chen, Christoffer Heckman, Simon Julier +1
In this paper, we propose an approach to address the problems with ambiguity in tuning the process and observation noises for a discrete-time linear Kalman filter. Conventional app…
eess.SY2019★ 10 cited
Kalman Filter Tuning with Bayesian Optimization
Zhaozhong Chen, Nisar Ahmed, Simon Julier +1
Many state estimation algorithms must be tuned given the state space process and observation models, the process and observation noise parameters must be chosen. Conventional tunin…