Kalman Filtering is an optimal technique for recovering signals from noise, widely used in applications like satellite communication to extract signals obscured by interference. It serves as the optimal estimator for linear systems by minimizing the error covariance matrix. The extended Kalman filter is employed in nonlinear systems, such as radar and sonar tracking. This method allows for the estimation of velocity and acceleration from noisy position measurements. Overall, Kalman Filtering is crucial for enhancing signal clarity in various technological fields.