… Kalman filter and Modified Kalman filter is set as 100. Figure 6 provides the performance of
the Kalman filter and modified Kalman filter … the noisy positions before filtering, “True position” …

… ABSTRACT A Kalman filtering technique is applied to the simultaneous detection of NH3 …
direct overtone laser absorption spectroscopy in the presence of various sensor noise sources. …

… presence of nonlinearity in the quaternion kinematics and measurement models. In this
section, the novel filtering architecture [termed the constrained Kalman filter (… to attitude filtering. …

… adversely affected by the presence of non-fundamental cauponents. … The purpose of this
paper is to explain Kalman filtering in … the application of the Kalman technique to power systems …

… In recent work, Dong and You [8] develop a robust Kalman filter … This paper proposes a
robust Kalman filter for systems with … In the presence of parameter uncertainties, the plant model …

… tracking in the presence of CMN, we use measurement differencing and develop a robust
general unbiased finite impulse response (GUFIR) filter and use the general Kalman filter (GKF…

… In this paper, we derive the optimal Bayesian Kalman filter, which is optimal over posterior …
This filter has the same recursive structure as that of the classical Kalman filter, except that it is …

… Simulation studies are presented to demonstrate the effectiveness of the Schmidt-Kalman
and the Shcmidt-IMM filters in the presence of residual biases. Significant improvements are …

… Kalman filter fails in providing the required accuracy and may even collapse over time. In this
paper, a Robust Kalman filtering … Extended Kalman Filter and Unscented Kalman Filter are …

… Kalman filter implementations called extended Kalman filters … and then designing the Kalman
filter gain for the linearized … states is estimated using a Kalman filter, rather than the state …