Open AccessIterative maximum likelihood estimation of the compound inverse Gaussian clutter parameters
Author(s) -
Belhi K.,
Soltani F.,
Mezache A.
Publication year - 2020
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.2020.0508
Subject(s) - clutter , estimator , mathematics , moment (physics) , maximum likelihood , iterative method , estimation theory , gaussian , algorithm , gaussian noise , inverse , mathematical optimization , statistics , computer science , radar , physics , telecommunications , classical mechanics , quantum mechanics , geometry
This Letter aims at proposing a cost‐effective method for estimating the parameters of the compound inverse Gaussian distributed clutter. Under the assumption of the absence of thermal noise, an iterative maximum likelihood estimator (IMLE) is proposed and compared with existing MLE, the [ z log( z )] estimator, the non‐integer order moments estimator and the higher order moment estimator. The results obtained show that the IMLE method outperforms all the other methods and has similar estimation performance than the MLE method but requires lower computational time.