Airport target classification based on subjection and Bayes' theorem
Minghui Tian · Radar & Ecm · 2013
In view of the target classification issue for the surface movement radar(SMR),an airport target classification algorithm based on the subjection and Bayes' theorem is proposed.Firstly,the mean values and the mean square errors of each characteristic value are obtained via the training samples,and the subjection of the measured values is computed using the Cauchy distribution function.Secondly,the probability vectors of the measured values are obtained through the Bayes' theorem.Finally,the target classification is got through the weighted-average synthetic judgment function.The test results indicate that the algorithm can classify and identify the airport targets accurately with little dependence on the apriori knowledge and continuously improve the accuracy of the classification recognition in the process of the classification.