程钰间

个人信息Personal Information

教授 博士生导师

性别:男

毕业院校:东南大学

学历:博士研究生毕业

学位:工学博士学位

在职信息:在岗

所在单位:电子科学与工程学院

办公地点:四号科研楼A区

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团队有关一种基于l1范数最小化的近场稀布天线低副瓣优化算法的成果在IEEE TAP期刊上发表

发布时间:2022-01-05   点击次数:

论文名称为Synthesis of sparse near-field focusing antenna arrays with accurate control of focal distance by reweighted l1 norm optimization”。本文针对上述现有的近场稀布天线阵列优化算法无法准确控制辐射近场区方向图的副瓣电平,以及会出现焦点位置偏移的问题,本文提出了一种基于 l1范数最小化优化算法。在本算法中,近场稀布问题首先改写为 l1范数正则化的形式;为了精确得控制焦点距离和峰值副瓣电平,提出了近场聚焦问题的约束条件;最后通过引入对求解空间的新的采样策略,保证了近场波束可以在求解空间内受到算法的约束。工作主要完成人黄子轩、程钰间、杨海宁。

论文链接:https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9205656


Abstract—A method based on reweightedl1 norm regularization for synthesizing a near-field (NF) sparse array with accurate control of 3 dB beamwidth(BW), focal distance, and peaksidelobelevel (PSL) is proposed in this communication. We first formulate the problem of synthesizing NF sparse array as a reweighted l1 norm optimization problem. The constraints for NF focusing array are proposed to accurately control the 3 dB BW, focal distance, and PSL at the same time. An effective

definition of the solution space for the NF synthesis problem is proposed to have the NF pattern well constrained and ensure the practicability and convergence of the proposed method. Finally, simulation examples are presented and compared with full-wave simulation results to validate the effectiveness and advantages of the proposed method.

Index Terms— Near-field (NF) beam shaping, reweighted l1 norm optimization, sparse array.