电讯技术2024，Vol.64Issue(1)：91-97,7.DOI:10.20079/j.issn.1001-893x.220912001
一种采用集成装袋树的雷达多次回波分类方法
A Radar Multiple Echoes Classification Method Based on Ensemble Bagging Trees
摘要
Abstract
The traditional radar multiple echoes classification method is easily affected by target types and amplitude fluctuation characteristics,and its generalization and accuracy are difficult to satisfy the actual needs of radar equipment.For this problem,a radar multiple echoes classification method based on Ensemble Bagging Trees is proposed.The method firstly performs amplitude logarithmic transformation and adjacent pulse amplitude complementing preprocessing operations on the radar multi-pulse echo data,and then uses the Decision Trees Algorithm to learn the amplitude fluctuation characteristics of the radar multiple echoes in the pulse dimension from the labeled training data.Finally,accurate classification of the radar multiple echoes is realized through the ensemble of multiple classifiers.The verification results of measured radar data show that the proposed method's classification accuracy reaches 95.9%,it can effectively improve the classification performance of radar multiple echoes,and its generalization ability is enhanced because of its independence on empirical threshold.关键词
雷达信号处理/多次回波分类/集成装袋树Key words
radar signal processing/radar multiple echoes classification/ensemble bagging trees分类
信息技术与安全科学引用本文复制引用
潘美艳,蔡兴雨,臧会凯,薛健..一种采用集成装袋树的雷达多次回波分类方法[J].电讯技术,2024,64(1):91-97,7.基金项目
国家自然科学基金资助项目(62201455) （62201455）
陕西省教育厅科研计划项目(22JK0566) （22JK0566）
陕西省科学技术协会青年人才托举计划项目(20230112) （20230112）
