Commercial navigation systems currently in use have reduced position and heading error
but are usually quite expensive. It is proposed that extended Kalman filter (EKF) and …

Since Kalman introduced his optimal estimation filter in 1960, the Kalman Filter (KF) has
been widely used in different applications. In navigation applications, KF has proven to be …

Due to its widespread application in the robotics field, the Kalman filter has received
increased attention from researchers. This work reviews some of the modifications …

Kalman filter is one of the most common ways to deal with dynamic data and has been
widely used in project fields. However, the accuracy of Kalman filter for discrete dynamic …

GNSS/INS integrated navigation system is particularly outstanding in providing reliable
navigation information for land vehicle applications. However, GNSS measurements are …

In this paper, a scaled unscented Kalman filter (SUKF) based on the quaternion concept is
designed for determination of the attitude, velocity and position parameters in inertial …

After reviewing the two main approaches of adaptive Kalman filtering, namely, innovation-
based adaptive estimation (IAE) and multiple-model-based adaptive estimation (MMAE), the …

Abstract Integrated GPS/INS using Kalman filter is the best technique for improving
navigation accuracy. Assuming that the covariance matrices are known and constant, a …

Kalman filter is widely applied in data fusion of dynamic systems under the assumption that
the system and measurement noises are Gaussian distributed. In literature, the interval …

A nonlinear filter called the iterated modified gain extended Kalman filter (IMGEKF) is
presented in this paper. This filter uses bearings only measurements to estimate the target …