Abstract
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 language | English |
|---|---|
| Pages (from-to) | 256-264 |
| Number of pages | 9 |
| Journal | IEE Proceedings, Part F: Radar and Signal Processing |
| Volume | 139 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1992 |