Abstract: An adaptive extended Kalman filter is derived for integrating inertial measurements from gyros, accelerometers with GPS pseudorange and pseudorange rate measurements. The adaptive filter ...

Abstract: Despite its stability and computational complexity advantages, the pseudolinear Kalman filter (PLKF) suffers from severe bias problems in bearings-only target tracking applications. This ...

Kalman Filter is an iterative mathematical process that quickly estimates one’s true position by using a set of equations and consecutive data inputs. In order to reduce errors made by a GPS in ...

This work presents the implementation of an online real-time Kalman filter algorithm to predict the spread of COVID19 per given region. Coronavirus(COVID19 or SARS-CoV-2) has recently caused major ...

A spacecraft attitude kinematics model, attitude measurement model, and filter algorithm are three important parts in spacecraft attitude determination, and a high-precision filtering algorithm is the ...