SRAP for range-coupled radar imaging

被引：2

作者：

Chen, Baoxin ^{[1
,2
]}

Dong, Yunlong ^{[1
]}

Huang, Yong ^{[1
]}

Guan, Jian ^{[1
]}

Chen, Xiaolong ^{[1
]}

机构：

[1] Naval Aviat Univ, Yantai 265401, Peoples R China

[2] 92337 Troop PLA, Dalian 116000, Peoples R China

来源：

IET RADAR SONAR AND NAVIGATION | 2020年 / 14卷 / 04期

基金：

中国国家自然科学基金;

关键词：

array signal processing; radar imaging; demodulation; OFDM modulation; MIMO radar; radar signal processing; radar antennas; MIMO communication; SRAP; range-coupled radars; range-coupled radar imaging; frequency diverse array radar; multiple-input-multiple-output radar; inherent advantage; angle-range joint imaging; signal models; ranging principles; space-range adaptive processing; radar systems; super-resolution angle-range images; MIMO RADAR; OFDM RADAR; RECONSTRUCTION;

D O I：

10.1049/iet-rsn.2018.5640

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：

Both waveforms of the frequency diverse array radar and the orthogonal frequency division multiplexing multiple-input-multiple-output radar are range coupled, so they provide an inherent advantage of angle-range joint imaging. The derivation of the signal models shows that the ranging principles are the same and the main differences lie in the spectrum structures and the demodulation schemes. Space-range adaptive processing (SRAP) is proposed for the two kinds of radar systems. Numerical simulations show that super-resolution angle-range images with extra-low sidelobes can be obtained via SRAP. The super-resolution performances of the range-coupled radars are evaluated and analysed.

引用

页码：601 / 606

页数：6

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