极化智能天线的二维矢量波束形成方法研究  

Research on Method of 2-D Vector Beamforming for Polarized Smart Antenna

作　　者：陈志坤 杜康 彭冬亮[1] 申屠晗[1] 薛梦凡 Chen Zhikun;Du Kang;Peng Dongliang;Shen Tuhan;Xue Mengfan(School of Automation,Hangzhou Dianzi University,Hangzhou,Zhejiang 310018,China)

机构地区：[1]杭州电子科技大学自动化学院,浙江杭州310018

出　　处：《信号处理》2020年第2期275-282,共8页Journal of Signal Processing

基　　金：国家自然科学基金资助项目(61701148;6170313;61703128)。

摘　　要：针对极化智能天线的匹配接收与干扰抑制等问题,将现有的基于均匀线阵的极化波束形成方法拓展到二维平面阵,提出了一种基于二阶锥规划的二维矢量波束形成方法。在二维观测平面内,该方法通过对主瓣区域进行极化匹配设计以提高系统接收增益和主瓣干扰的抑制能力,在旁瓣区域将零陷凹面与正交极化约束进行叠加设计以最大限度提高干扰抑制能力,建立最优的矢量波束优化问题模型,进而转化为两个等价的标量波束优化问题,并使用二阶锥规划对其求解。仿真结果表明:相对于现有的均匀线阵极化波束形成方法而言,该方法能够在二维观测平面上实现自适应极化设计,包括了主瓣极化匹配和旁瓣零陷凹面的极化约束,进而提高了极化波束形成方法的工程实用性。Aiming at the problems of matching reception and interference suppression of polarized smart antenna,the existing uniform linear array polarized beamforming method was extended to two-dimensional planar arrays,and a two-dimensional polarized beam based on second-order cone programming(SOCP) was proposed.In the plane of observation,polarization matching is designed to improve the system reception gain and the main lobe interference suppression ability in the main lobe region;the notch concave and polarization constraints are superposed to maximize the interference suppression ability in sidelobe region.Then the corresponding vector beamforming optimization model is established,and transformed into two equivalent scalar optimization problems solved by SOCP.The simulation results show that:compared with the existing uniform linear array polarization beamforming method,this method can realize the adaptive polarization design in the plane of observation,including polarization matching in main lobe area and polarization constraints for notch concave in sidelobe area,improves the engineering practicability of the polarized beamforming method.

关 键 词：极化智能天线 矢量波束形成 二阶锥规划 零陷凹面 

分 类 号：TN911.7[电子电信—通信与信息系统]