【作者】 陈丰凯； 雷世文； 张靖悦； 高银； 杨伟； 胡皓全；

【Author】 CHEN Fengkai;LEI Shiwen;ZHANG Jingyue;GAO Yin;YANG Wei;HU Haoquan;University of Electronic Science and Technology of China;

【机构】 电子科技大学；

【摘要】 本文提出了一种基于线性规划的阵列赋形波束增益增强算法。基于增益最大化优化准则,采用近似代换策略,将原非凸优化问题分解为线性规划问题,并通过迭代技术,交替更新阵列激励,从而实现了赋形波束增益的进一步提升。仿真结果表明,与现有的基于方向图优化的算法相比,该方法能够在同样副瓣电平的条件下,获得更高的宽波束内的最小主瓣增益。更多还原

【Abstract】 The paper proposes a new array antenna power gain enhancement algorithm for a shaped beam pattern with linear programming.The algorithm uses the approximate replacement policy to transform the original nonconvex optimization problem into a linear optimization problem based on the power gain maximization criteria.Then an iteration strategy is introduced to update the array excitation iteratively.As a result,the proposed algorithm can further enhance the array antenna power gain.Compared with the conventional algorithms based on the shaped beam pattern synthesis(SBPS),simulation results indicate that the proposed algorithm can obtain a higher minimum power gain in a wide-beam mainlobe when achieving the same sidelobe level.更多还原