Maximum-likelihood CFAR for Weibull background

R. Ravid*, N. Levanon

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


A low-loss CFAR algorithm for Weibull background is discussed. The two parameters (shape and scale) of the background statistics are estimated using a maximum-likelihood algorithm. A CFAR threshold based on parameters estimated in this way exhibits a smaller variance, and hence a smaller CFAR loss, than thresholds based on other estimation algorithms such as moments or order statistics. The analysis covers both complete and censored background sample sets.

Original languageEnglish
Pages (from-to)256-264
Number of pages9
JournalIEE Proceedings, Part F: Radar and Signal Processing
Issue number3
StatePublished - 1992


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