Radar Moving Target Detection via Improved Sparse Fourier Transform

被引：2
|
作者：
Yu, Xiaohan [1 ]
Huang, Yong [1 ]
Zhang, Lin [1 ]
Chen, Xiaolong [1 ]
Guan, Jian [1 ]
机构：
[1] Naval Aviat Univ, NAU, Yantai 264001, Shandong, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION AND COMMUNICATION TECHNOLOGY (ICEICT 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
radar target detection; sparse Fourier transform (SFT); Improved sparse Fourier transform;
D O I：
10.1109/iceict.2019.8846262
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To solve the problem of moving target detection under limited radar resource conditions and complex environments, a radar target detection algorithm based on improved sparse Fourier transform (SFT) is proposed. On the one hand, the first level detection is introduced to suppress the influence of strong clutter on sparsity and frequency estimation; On the other hand, the Doppler frequency of suspected targets is used to construct subspace detectors to avoid losing clutter information in the second detection level. The effectiveness of the method is verified by experiments with measured data.
引用
收藏
页码：543 / 546
页数：4
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