A new constant false alarm rate technique
Abstract
A new method for achieving a constant false alarm rate (CFAR) in a radar receiver is proposed which is based on transforming the unknown probability density function of the input clutter to a uniform distribution and setting the Pfa after the transformation. The constants required for the transformation are obtained by a simple least squares curve fitting method. With about 10,000 samples, the technique is shown to give very good results for Rayleigh and Weibull clutter and reasonably good values for log-normal clutter. The method is quite general and can be applied to any distribution of the interfering signal.
- Publication:
-
International Radar Symposium
- Pub Date:
- October 1983
- Bibcode:
- 1983rad..symp..327R
- Keywords:
-
- Clutter;
- Probability Density Functions;
- Radar Detection;
- Radar Receivers;
- Target Recognition;
- Curve Fitting;
- Least Squares Method;
- Performance Prediction;
- Rayleigh Distribution;
- Weibull Density Functions;
- Communications and Radar