A Skew Peak Math Model on Analysis of Radar Air Intelligence Precision
Ruan Shu-ping · 2010
In order to study detection error precision of radar air intelligence and that of various system radars,a math model on precision test of radar air target surveillance intelligence was set up by using the parameter estimation,and skewness and kurtosis test methods in relation to hypotheses check theory out of probability and statistics.Normal check analysis of radar intelligence detection errors was done in terms of the established model,and it was concluded that the range error random variables D1 and D2 of X-type and Y-type radars obey the normal distribution respectively by using the maximum likelihood estimate,namely D1 ~ N 199.98,19.992,D2 ~ N 190,14.902.The conclusion drawn will play a guiding role in selecting the radar intelligence from the main station as what is reported to the high level for decision-making.