The research on aircraft carriers and shipboard aircraft is of great strategic importance in the military field of each country,and the safety of shipboard aircraft landing on aircraft carriers has always been a problem that cannot be ignored.The landing of a carrier aircraft is a very difficult and dangerous task,and the factors affecting the process are complex and varied.Existing studies have analyzed the factors affecting shipboard aircraft landing from different perspectives and proposed solutions to determine the safety status of landing.In this paper,we first preprocessed the real landing data of a carrier aircraft to obtain the total sample data,and then used these data to establish the landing posture assessment models using the traditional Fisher’s discriminant method and Bayes’ discriminant method respectively,and then used the total sample data to perform the backtest.The correct rates of the two models were 74.0% and 80.8%,and the latter was more correct than the other,so the Bayes-based posture assessment model was improved.To address the problem of parameter selection,two improvement ideas of variable screening and linear transformation are proposed,so that the stepwise discriminant method and the principal component analysis method are combined with the discriminant model for optimization,and the optimized model for shipboard aircraft landing posture assessment is established.The correctness of the two optimization models was 81.4% and 82.5%,respectively,which was 0.6% and 1.7% higher than that of the Bayes discriminant method,indicating the effectiveness of the optimization method.Based on the study of the shipboard landing situation evaluation algorithm,a shipboard landing situation evaluation system was designed and implemented by analyzing the requirements of the usage environment and user groups,and the functionality of the system was examined through repeated testing of multiple use cases. |