Research on Accurate Recognition of Multidimensional Features of Radar Targets Based on Improved Decision Tree Algorithm
Decision tree algorithm is a common data mining method,which realizes target classification and regression by constructing tree model. In the field of radar target recognition,this technique is applied to extract and classify target features from radar signals,aiming to improve the accuracy and efficiency of recognition. This paper first introduces the application background of the decision tree algorithm in radar target recognition and the challenges it faces. Then,it describes in detail the basic principles of the algorithm and its improvement methods,and validates the effectiveness of the improved decision tree algorithm in the accurate recognition of radar target multidimensional features through experimental design.
improved decision tree algorithmmultidimensional features of radar targetsprecise recognition
万方数据
维普
