Monopulse estimator using inverse function of MR curve

Presented is a novel monopulse estimator that uses the inverse function of a monopulse ratio (MR) curve of the maximum likelihood (ML)-based monopulse estimator. The proposed estimator exploits the fact that the ML-based MR curve is approximated by one tangent function. The proposed estimator works in two steps, in which the ML-based estimator is applied first and then its output is corrected by the inverse function of the MR curve of the ML-based estimator. Its derivation is presented, in addition to simulation results showing that it outperforms the conventional ML-based estimator.