Joint likelihood estimation and model order selection for outlier censoring

Abstract This study deals with the problem of outlier censoring from the secondary data in a radar scenario, where the number of outliers is unknown. To this end, a procedure consisting of joint likelihood estimation and statistical model order selection (MOS) is proposed. Since the maximum likeliho...

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Bibliographic Details
Main Author: Seyed Mohammad Karbasi
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:IET Radar, Sonar & Navigation
Online Access:https://doi.org/10.1049/rsn2.12072