Wideband Radar Target Recognition Based on Polarization Features and Double Layer K-LightGBM

Bowen Deng, Ping Lang, Xiongjun Fu, Jian Dong, Zhifeng Ma*, Zongding Cui

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

To improve the shape-similar target recognition performance, a polarization features-based double layer K-LightGBM model is proposed in this paper. First, a target features dataset is built, which is based on polarization invariants and two kinds of polarization decompositions of targets. Then, a double layer K-LightGBM model is set up by improving StackNet with K LightGBM stacked. Finally, the dataset is fed into the proposed model for training and testing. The experimental results show that the proposed method in this paper has better performance in terms of generalization and denoising, compared to many existing state-of-the-art methods, including LightGBM.

源语言英语
主期刊名2021 CIE International Conference on Radar, Radar 2021
出版商Institute of Electrical and Electronics Engineers Inc.
1293-1296
页数4
ISBN(电子版)9781665498142
DOI
出版状态已出版 - 2021
活动2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, 中国
期限: 15 12月 202119 12月 2021

出版系列

姓名Proceedings of the IEEE Radar Conference
2021-December
ISSN(印刷版)1097-5764
ISSN(电子版)2375-5318

会议

会议2021 CIE International Conference on Radar, Radar 2021
国家/地区中国
Haikou, Hainan
时期15/12/2119/12/21

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