A comparison of extended Kalman filter, particle filter, and least squares localization methods for a high heat flux concentrated source

Cooperative vehicle localisation method based on the fusion of GPS, inter‐vehicle distance, and bearing angle measurements

“…In order to decrease the disturbances of the noise data, it is imperative for the raw GPS data to be denoised. Compared with other localisation filters such as particle filter and least squares filter, KF has its advantages of simplicity, higher computational efficiency, and the existence of a control input [21]. Therefore, the KF algorithm is recommended and adopted in this study.…”

A Particle-Filtering Approach for Real-Time Estimation of Thermal Conductivity and Temperature Tracking in Homogeneous Masses

“…Moreover, these authors also estimated a position-dependent transient heat source in a plate, although in this case, the exact solution to the problem was obtained using a Kalman filter, due to the linear Gaussian temperature-evolution model. Myers et al [25] applied an extended Kalman filter, a particle filter, and a least-squares method for localization of a high and concentrated heat flux source in a plate. Finally, Vianna et al [26] used a particle filter to reconstruct the temperature field of a pipeline cross section from transient temperature measurements on the surface.…”

Parameter estimation for heat transfer analysis during casting processes based on ensemble Kalman filter

“…It has been developed in the field of data science based on Bayesian inference, and it has been successfully applied to estimations of state and/or parameters in many problems in the fields of oceanography and meteorology [14][15][16]. In the previous study [17], we developed the estimation method for k and h based on particle filter which is one of the methods for data assimilation.…”