Title :
A hybrid estimator for the cumulative probability of detection of surveillance radars
Author :
Lee, David S. ; Naiman, D.Q.
Author_Institution :
Dept. of Math. Sci., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
A hybrid estimator is formulated by combining the estimates from an empirical Bayes estimator and a jackknifed Bayes estimator. This hybrid estimator performs better than the maximum likelihood estimator, when used to estimate the cumulative probability of detection of surveillance radars.
Keywords :
Bayes methods; Monte Carlo methods; airborne radar; frequency estimation; probability; radar detection; radar signal processing; radar tracking; search radar; target tracking; Monte Carlo simulation; airborne radar; biased estimator; cumulative probability of detection; empirical Bayes estimator; frequency estimator; hybrid estimator; jackknifed Bayes estimator; mean squared error performance; performance indicator; surveillance radars; target detection; Aerospace electronics; Airborne radar; Aircraft; Clutter; Frequency estimation; Maximum likelihood detection; Maximum likelihood estimation; PROM; Radar clutter; Radar detection; Radar theory; Sections; Surveillance;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
