Target Tracking in Radar using the Kalman Filter Technique

The Kalman filter is a set of mathematical equations that is a computationally efficient tool for estimation. It provides us with the process status, in this way, it minimizes the mean square error. In some applications, this filter is very strong, it supports the past situation as well as the present and future situation. This mode is accurate for when the system model is also uncertain. The Kalman filter guides general problems trying to estimate the state x so that the discrete-time process is linearly controlled by a stochastic differential equation. The purpose of this article is to correctly track the target used in a radar with the help of the Kalman filter technique and MATLAB. The result of the implementation has been analyzed and planned for flight system maneuvers using a simulated target.