Abstract
This paper proposes a position and velocity estimation scheme for 2D-moving object using Kalman filter. First of all, the 2D-moving object is represented by a state-space scheme where sensors are used to sense the system states. The main objective of a 2D-moving object is to estimate the position and velocity of moving object. The optimal signal processing algorithm called Kalman filter is proposed to estimate the position and velocity of the target object. A comprehensive literature review has been analyze by advantages and disadvantages about using optimal signal processing algorithms, Kalman filter, and moving object tracking. Extensive simulation results show that the proposed algorithm can properly track the position and velocity of moving object.