Range and Doppler reconstruction for sparse frequency agile linear frequency modulation-orthogonal frequency division multiplexing radar

被引：7
|
作者：
Liu, Zhixing [1 ]
Quan, Yinghui [1 ]
Wu, Yaojun [1 ]
Xu, Kaijie [1 ]
Xing, Mengdao [2 ]
机构：
[1] Xidian Univ, Sch Elect Engn, Xian, Peoples R China
[2] Xidian Univ, Acad Adv Interdisciplinary Res, Xian, Peoples R China
来源：
IET RADAR SONAR AND NAVIGATION | 2022年 / 16卷 / 06期
基金：
中国国家自然科学基金;
关键词：
compressed sensing; radar signal processing; OFDM modulation; OFDM; PROFILE;
D O I：
10.1049/rsn2.12239
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：
Sparse frequency agile linear frequency modulation-orthogonal frequency division multiplexing (LFM-OFDM) radar can improve anti-interference ability as well as reduce the sampling rate of the radar system. However, the frequency agility makes it difficult to realize coherent processing by using the fast Fourier transform. To overcome this problem, a signal processing scheme for the sparse frequency agile LFM-OFDM radar is proposed to obtain the high range and Doppler resolution in this study. The subcarriers are synthesised to an LFM signal in the time domain at first. Then, within the framework of the compressed sensing theory, an improved orthogonal matching pursuit algorithm is proposed to obtain the high-resolution range-velocity profile while reducing the computation complexity. Finally, several numerical simulations are provided to verify the effectiveness of the proposed method for moving targets.
引用
收藏
页码：1014 / 1025
页数：12
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