Comparison of 2D and 3D Compressed Sensing for High-Resolution TDM-MIMO Radars

被引：0
|
作者：
Roos, Fabian [1 ]
Huegler, Philipp [1 ]
Knill, Christina [1 ]
Torres, Lizette Lorraine Tovar [1 ]
Appenrodt, Nils [2 ]
Dickmann, Juergen [2 ]
Waldschmidt, Christian [1 ]
机构：
[1] Ulm Univ, Inst Microwave Engn, D-89081 Ulm, Germany
[2] Daimler AG, Grp Res & Adv Engn, D-89081 Ulm, Germany
来源：
2019 16TH EUROPEAN RADAR CONFERENCE (EURAD) | 2019年
关键词：
MIMO radar; direction-of-arrival estimation; sparse arrays; compressed sensing; automotive radar;
D O I：
暂无
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：
In order to enhance the resolution of radar sensors, the sampling of the different measurement domains range, Doppler, and direction-of-arrival can be improved. This, for example, leads to the application of a sparse array for an increased angular resolution and an enhanced multiple-input multiple-output switching scheme for an increased maximum Doppler velocity. In this paper, an investigation is performed in order to determine the dimension where undersampling is most effective. As the measurement dimensions are linked, two different reconstruction approaches of the subsampled data are presented and evaluated. Measurements validate the effective reconstruction of the subsampled data.
引用
收藏
页码：253 / 256
页数：4
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