Application of the discrete Kalman filter for radar pointing error reduction

Abstract

A recently proposed method of reducing target glint errors in radar systems using extended Kalman filtering is further enhanced with the development of a discrete target model and discrete Kalman filter (DKF) that includes clutter effects. Simulation results demonstrating the DKF are presented, and the limits of the usefulness of this method are investigated. The major advantage of the DKF is investigated. The major advantage of the DKF is that it can be implemented in software in the radar's digital processor, offering greater flexibility than continuous-time filters.<>