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Closed‐form parameter estimators for Pareto distributed clutter with noise
Author(s) -
Bocquet S.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.2565
Subject(s) - clutter , estimator , noise (video) , pareto principle , mathematics , algorithm , computer science , mathematical optimization , statistics , artificial intelligence , radar , telecommunications , image (mathematics)
Closed‐form parameter estimators are obtained for Pareto distributed clutter with noise. The estimators consist of simple combinations of data moments, with no special functions, but they are only applicable to multilook data, because they make use of the harmonic mean, which is zero for the single‐look clutter plus noise distribution. They have been tested on simulated two‐look clutter and noise data. The closed‐form estimators have about the same accuracy as the numerically solved z log z estimators obtained in previous work, but they are much simpler and quicker to compute.

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