A CS-Based Strategy For the Design of Shaped-Beam Sparse Arrays

被引：0

作者：

Carlin, M. ^{[1
]}

Oliveri, G. ^{[1
]}

Massa, Andrea ^{[1
]}

机构：

[1] Univ Trent, DISI, ELEDIA Res Grp, I-38123 Trento, Italy

来源：

2011 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (APSURSI) | 2011年

关键词：

Array synthesis; linear arrays; sparse arrays; Bayesian compressive sampling; relevance vector machine; MATRIX PENCIL METHOD; DIFFERENCE SETS; ANTENNA-ARRAY; REDUCTION; ELEMENTS; NUMBER;

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 synthesizing maximally-sparse linear arrays with complex excitations is solved through a numerically-efficient approach based on the Bayesian Compressive Sampling (BCS). The array design problem is re-cast in a probabilistic framework, and a fast relevance vector machine (RVM) is employed for the computation of the optimal layout and associated complex weights. A preliminary numerical validation is presented to assess the potentialities and limitations of the proposed approach.

引用

页码：1996 / 1999

页数：4

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