Estimators for model-based passive localization
A comparative study is made of the performance of four different estimators as used in the matched field technique of passive localization. The study is based on both real and synthesized data. In the synthesized data case, a comparison is made of the performance of the estimators for various signal-to-noise ratios. The four estimators studied are Bucker's Estimators, which can be thought of as aspatial matched filter, and three likelihood-type estimators. The results indicate that the matched-field type estimator has a slightly better signal-to-noise performance than the others, but rather poor sidelobe behaviour, whereas for the likelihood-type estimator the sidelobe behaviour is quite good.
Sullivan, Edward J.;
Volkmann, W. M.;