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.
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页数：3
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