High-resolution ISAR imaging based on photonic receiving for high-accuracy automatic target recognition

被引:7
|
作者
Deng, Anyi [1 ]
Qian, Na [1 ]
Hua, Shiyu [1 ]
Wan, Jun [1 ]
Lv, Zhenbin [1 ,2 ]
Zou, Weiwen [1 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Networks, Intelligent Microwave Lightwave Integrat Innovat, Dept Elect Engn, Shanghai 200240, Peoples R China
[2] Shanghai Aerosp Elect Technol Inst, Shanghai 201109, Peoples R China
来源
OPTICS EXPRESS | 2022年 / 30卷 / 12期
基金
中国国家自然科学基金;
关键词
NETWORKS; RADAR;
D O I
10.1364/OE.457443
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A scheme of high-resolution inverse synthetic aperture radar (ISAR) imaging based on photonic receiving is demonstrated. In the scheme, the linear frequency modulated (LFM) pulse echoes with 8 GHz bandwidth at the center frequency of 36 GHz are directly sampled with the photonic analog-to-digital converter (PADC). The ISAR images of complex targets can be constructed without detection range swath limitation due to the fidelity of the sampled results. The images of two pyramids demonstrate that the two-dimension (2D) resolution is 3.3 cm x 1.9 cm. Furthermore, the automatic target recognition (ATR) is employed based on the high-resolution experimental dataset under the assistance of deep learning. Despite of the small training dataset containing only 50 samples for each model, the ATR accuracy of three complex targets is still validated to be 95% on a test dataset with the equal number of samples. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
引用
收藏
页码:20580 / 20588
页数:9
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