一种基于柔性形变天线的极化波束在线重构技术

Polarized Beam Online Reconfiguration Technique For Flexible Deformation Antennas

针对柔性极化阵列天线因其结构实时形变而难以波束重构以及性能受损的问题,该文提出一种基于柔性形变天线的极化波束在线重构技术。首先,基于无人机机翼模型的柔性形变状态进行阵列建模,借助于模态法得到实时形变数据,在线重构天线阵列模型;其次,基于矢量阵列天线的阵元响应,构建3维空间中的柔性阵列信号模型;最后,将循环算法(CA)与2阶锥规划(SOCP)进行深度结合设计以求解最优极化波束重构的动态优化问题。仿真结果表明:在一定的形变范围内,即在环境载荷对不同弧度与角度需求下,该文所提方法能够实现在线天线阵列重构,并根据所测量应变位移数据而实现最优极化波束在线重构,方向图增益、波束宽度以及极化匹配设计均能满足工程应用要求。

In response to the challenges posed by the deformation of flexible polarized array antennas,which results in difficulties in beam reconstruction and compromised beam performance,polarization beam online reconstruction technique based on flexible deformation polarized antennas is proposed in this paper.Firstly,the deformation state of the array is modeled based on a wing model,and real-time deformation data is obtained using modal analysis to reconstruct the antenna array model online.Secondly,the element response of vector array antenna is utilized to construct a flexible array antenna signal model in three-dimensional space.Finally,a deep integration of the Cyclic Algorithm(CA)and Second-Order Cone Programming(SOCP)is employed to solve the dynamic optimization problem of this optimal polarization beam reconstruction.Simulation results demonstrate that within a certain range of deformation and under different arc and angle requirements from environmental loads,the proposed method can achieve online antenna array reconstruction and real-time optimal polarization beam reconstruction based on the dynamic antenna array model.The directional gain,beamwidth,and polarization matching design all meet the requirements for practical engineering applications.