指挥控制与仿真2024，Vol.46Issue(3)：137-143,7.DOI:10.3969/j.issn.1673-3819.2024.03.020
基于时间序列森林的雷达高分辨距离像目标识别
Radar high resolution range profile target recognition based on time series forest
程巍轶 1张红敏 2黄燕3
作者信息
- 1. 信息工程大学,河南 郑州 450001||中国人民解放军91911部队,海南 三亚 572000
- 2. 信息工程大学,河南 郑州 450001
- 3. 中国人民解放军32316部队,新疆 乌鲁木齐 830001
- 折叠
摘要
Abstract
In order to improve the recognition accuracy of radar targets and the recognition performance under incomplete an-gular domain data,a high resolution range profile(HRRP)recognition algorithm based on time series forest is proposed.The basic principle of time series forest algorithm and the basic steps of HRRP target recognition are introduced in detail.The ex-perimental results of measured HRRP data show that compared with k-nearest neighbors(KNN),support vector machine(SVM),random forest(RF),convolutional neural network(CNN),long short-term memory(LSTM)and other classical tar-get recognition algorithms,the proposed algorithm has better recognition performance and better angular domain promotion a-bility.Under the condition of training only 1/2 and 1/3 angular domain data,the average recognition rate of the full angular domain data is better than 85%,which is an average increase of 5.2%compared with the above method.关键词
雷达自动目标识别/高分辨距离像/时间序列森林/不完备角域Key words
RATR/HRRP/TSF/incomplete angular domain分类
军事科技引用本文复制引用
程巍轶,张红敏,黄燕..基于时间序列森林的雷达高分辨距离像目标识别[J].指挥控制与仿真,2024,46(3):137-143,7.
