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.<>
Statistical tests for surveillance radars
IEEE Transactions on Aerospace and Electronic Systems ; 29 , 3 ; 988-994
1993-07-01
561512 byte
Article (Journal)
Electronic Resource
English
Statistical Tests for Surveillance Radars
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