Design and implementation of a decision tree classification algorithm for radar signal recognition

Letian Tian; Zhaowen Zeng; Longjie Ge

doi:10.1117/12.2642621

28 July 2022 Design and implementation of a decision tree classification algorithm for radar signal recognition

Letian Tian, Zhaowen Zeng, Longjie Ge

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123030K (2022) https://doi.org/10.1117/12.2642621
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

In order to classify and identify the countries of radar signals, this paper analyzes the characteristics and current situation of radar signal recognition, adopts the decision tree classification algorithm in machine learning, studies the data preprocessing and the construction, evaluation and optimization of decision tree model, and realizes the program design and practical application of decision tree classification algorithm, which provides effective support for improving the efficiency of radar reconnaissance and early warning. The research shows that the decision tree model can effectively classify and recognize radar signals after training and optimization, with an accuracy of more than 96% and an AUC value of more than 0.98.

Citation Download Citation

Letian Tian, Zhaowen Zeng, and Longjie Ge "Design and implementation of a decision tree classification algorithm for radar signal recognition", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123030K (28 July 2022); https://doi.org/10.1117/12.2642621

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