Ordered Statistic CFAR Processing for Two-Parameter Distributions with Variable Skewness
- 1 November 1985
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Aerospace and Electronic Systems
- Vol. AES-21 (6) , 819-821
- https://doi.org/10.1109/taes.1985.310668
Abstract
Rohling has developed a constant false alarm rate (CFAR) technique based on ordered statistics of the reference cells. An extension of his technique is presented that maintains a CFAR for two-parameter distributions, with both mean power and skewness variable. The new method is therefore more robust, but has higher CFAR loss than the single-parameter technique.Keywords
This publication has 2 references indexed in Scilit:
- Radar CFAR Thresholding in Clutter and Multiple Target SituationsIEEE Transactions on Aerospace and Electronic Systems, 1983
- False-Alarm Regulation in Log-Normal and Weibull ClutterIEEE Transactions on Aerospace and Electronic Systems, 1973