A Compressive Sensing Approach for Directions-of-Arrival Estimation in Planar Sub-Arrayed Arrays

被引：0

作者：

Hannan, Mohammad Abdul ^{[1
]}

Rocca, Paolo ^{[1
,2
]}

机构：

[1] Univ Trento, DICAM, ELEDIA Res Ctr, ELEDIA UniTN, Trento, Italy

[2] Xidian Univ, ELEDIA XIDIAN, ELEDIA Res Ctr, Xian, Shaanxi, Peoples R China

来源：

2022 16TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP) | 2022年

关键词：

direction-of-arrival estimation; planar sub-arrayed array; Bayesian Compressive Sensing; single-time snapshot;

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：

The problem of the estimation of the directions-of-arrival (DoAs) in sub-arrayed planar arrays is addressed in this work by means of a strategy based on the Bayesian Compressive Sensing (BCS). The DoAs estimation performance for different sub-array configurations are discussed and compared, considering different noisy conditions. Preliminary numerical results are reported for single snapshot data to validate the proposed strategy.

引用

页数：3

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