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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| Format: | Article |
| Language: | English |
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Wiley
2021-06-01
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| Series: | IET Radar, Sonar & Navigation |
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| Online Access: | https://doi.org/10.1049/rsn2.12072 |