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Evaluating aircraft's stealth performance from the perspective of detection probability
Received date: 2014-05-04
Revised date: 2014-08-15
Online published: 2014-09-05
Since radar cross section (RCS) mean values cannot provide enough information to evaluate aircraft's stealth performance, a method using signal detection probability theory is proposed, which can provide more sufficient information. The relationships between target's RCS data and false alarm probability, detection probability, detection distance, signal to noise ratio (SNR) etc. are derived. Four typical aircrafts' stealth performance is analyzed as examples and any other target's data with certain radar parameters can be analyzed in the same way. Instead of fluctuation models, probability density function (PDF) of target's original RCS data is utilized directly when detection probability is computed numerically; this method can eliminate model fitting error without introducing any unacceptable computation errors. Computation results show that if detection is based on a single observation, the detection probability decreases when target's RCS mean to medium value ratio increases as well as the RCS value range decreases; a significant difference of detection probability can be found when the ratio differs by three times or more; under the assumption of fast fluctuation, incoherent integration gain may be greater than Nin even if Nin is very small; Nin is the number of integration pulses here.
CHEN Shichun , HUANG Peilin , JI Jinzu . Evaluating aircraft's stealth performance from the perspective of detection probability[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(4) : 1150 -1161 . DOI: 10.7527/S1000-6893.2014.0187
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