Statistical tests for surveillance radars

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. >