Power-Gain Pattern Synthesis of Array Antenna With Dynamic Range Ratio Restriction

被引：16

作者：

Lei, Shiwen ^{[1
]}

Hu, Haoquan ^{[1
]}

Tang, Pu ^{[1
]}

Chen, Bo ^{[1
]}

Tian, Jing ^{[1
]}

Yang, Wei ^{[1
]}

Qiu, Xiangdong ^{[2
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Elect Sci & Engn, Chengdu 611731, Sichuan, Peoples R China

[2] Global Vis Media Technol Co Ltd, Beijing 100043, Peoples R China

来源：

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2019年 / 18卷 / 12期

关键词：

Linear antenna arrays; Upper bound; Heuristic algorithms; Gain; Dynamic range; Iterative methods; Array antenna synthesis; convex optimization; dynamic range ratio (DRR) control; power-gain pattern synthesis (PGPS); PENCIL BEAMS; OPTIMIZATION; DESIGN;

D O I：

10.1109/LAWP.2019.2949069

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：

By directly solving the power-gain pattern synthesis (PGPS) instead of the shaped-beam pattern synthesis (SBPS), the gain of the antenna array can be improved. However, the dynamic range ratio (DRR) of the optimized results for both PGPS and SBPS are uncontrollable, which can heavily increase the cost of a real system. In this letter, the DRR control scheme for the PGPS problem is discussed. The maximum desired DRR is added, yielding a new nonconvex problem to be solved. This nonconvex DRR restriction is approximated as a linear convex restriction condition, which explicitly provides the lower and upper bounds of the array weight. Finally, with the aid of an existing PGPS-algorithm structure, the designed derivative PGPS problem can be solved effectively. The advantage and effectiveness of the proposed algorithm are validated with simulation results.

引用

页码：2691 / 2695

页数：5

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