Title :
Estimation of prescribed false alarm rate thresholds from local data using tolerance intervals
Author :
Real, E.C. ; Tufts, D.W.
Author_Institution :
Signal Processing Center of Technol., Lockheed Martin Co., Nashua, NH, USA
Abstract :
We present a method for estimating threshold values for signal detection and classification systems in which a prescribed value of false alarm probability is needed. The threshold values are determined directly from observed test statistic data without knowledge of the probability distribution of the data. Our method uses the concept of tolerance intervals from nonparametric statistics.
Keywords :
signal classification; signal detection; statistical analysis; tolerance analysis; adaptive CFAR thresholds; false alarm probability; local data; nonadaptive CFAR thresholds; nonparametric statistics; prescribed false alarm rate thresholds; signal classification; signal detection; statistical signal processing; test statistic data; threshold values estimation; tolerance intervals; Decision making; Maximum likelihood detection; Maximum likelihood estimation; Probability distribution; Signal detection; Signal processing; Statistical analysis; Statistical distributions; Testing;
Journal_Title :
Signal Processing Letters, IEEE
