Compressed Sensing based Single Snapshot DoA Estimation for Sparse MIMO Radar Arrays

被引：0

作者：

Roos, Fabian ^{[1
]}

Huegler, Philipp ^{[1
]}

Torres, Lizette Lorraine Tovar ^{[1
]}

Knill, Christina ^{[1
]}

Schlichenmaier, Johannes ^{[1
]}

Vasanelli, Claudia ^{[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 12TH GERMAN MICROWAVE CONFERENCE (GEMIC) | 2019年

关键词：

MIMO radar; direction-of-arrival estimation; sparse arrays; compressed sensing; single snapshot; extended targets; automotive radar;

D O I：

10.23919/gemic.2019.8698136

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：

The angular resolution of a radar system can be enhanced with an increasing antenna aperture. Instead of using more antenna elements, the distances in the aperture can be increased with a sparse array. To mitigate the high side lobes originating from the sparse array, the missing antenna elements can be reconstructed by means of compressed sensing. In this paper a sparse antenna array with a low side lobe level is determined with a genetic algorithm and a cost function. An investigation is performed what difference in the radar cross section of two targets in the same range-Doppler cell can be achieved. Additionally, instead of considering point targets only, a target vehicle is measured with a 77 GHz MIMO radar.

引用

页码：75 / 78

页数：4

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