Title :
Statistical tests for surveillance radars
Author :
Rogers, Steven R.
Author_Institution :
OPAL Technol., Nes Ziona, Israel
fDate :
7/1/1993 12:00:00 AM
Abstract :
Acceptance tests for surveillance radars are often formulated in terms of the cumulative probability of detection (P) at a specified range. Statistical methods for determining point and interval estimates of P from a small number of flight tests are discussed. Three types of estimators, frequency, Bayesian, and maximum likelihood, are studied both analytically and by Monte Carlo simulation. Extensions to more complicated acceptance tests, involving track formation probabilities, are discussed
Keywords :
Bayes methods; Monte Carlo methods; estimation theory; probability; radar; radar theory; signal detection; statistical analysis; Bayesian estimator; Monte Carlo simulation; acceptance tests; cumulative probability of detection; flight tests; frequency estimator; interval estimates; maximum likelihood estimator; point estimates; signal detection; statistical tests; surveillance radars; track formation probabilities; Bayesian methods; Frequency estimation; Maximum likelihood detection; Maximum likelihood estimation; Probability; Radar detection; Radar tracking; Statistical analysis; Surveillance; Testing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
