… This paper proposes an extended Kalman filter approach to estimate the location of a UAV
when its GPS connection is lost, using inter-UAV distance measurements. The results from a …

… An important nonlinear filtering application is passive … taken from a moving platfom Extended
Kalman filters (EKF) are attractive for … Here we seek to improve the extended Kalman filter …

… In this correspondence, we have given theoretically supported guidelines for the design of
stable extended Kalman filters, and this has been applied to an EKF frequency tracker. We …

… CONCLUSION In this paper, the design and implementation of an extended Kalman filter
with a digital signal processor has been investigated. A systematic and analytic approach for …

… Unscented Kalman Filter (UKF), we conclude that there exists a systematic way to design
the EKF for a very satisfactory performance. Therefore, the EKF’s design parameters need not …

… This paper focuses on the use of the extended Kalman filter (EKF), an approach which
has been recently proposed by Bitmead and co-authors in [9]–[11] for the design of a frequency …

A method for speed and rotor position estimation of a brushless DC motor (BLDCM) is
presented in this paper. An extended Kalman filter (EKF) is employed to estimate the motor state …

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

… behaviour of the robust extended Kalman filter (REKF) for … to design the REKF so that
the sufficient conditions to ensure … adaptive REKF over the usual extended Kalman filter (EKF), …

… Nonlinear Kalman filters, especially extended Kalman filters (EKFs), are the most preferred
state and/or parameter estimation methods for IM. However, they require a stochastic system …