摘要
阵列天线的稀布优化是近年来的研究热点,该技术在保证方向图性能不变的情况下,减少阵元数目,重新规划阵列中阵元的排布.本文使用酉矩阵束算法对全波仿真阵列进行稀布优化,得到稀布后阵列的阵元数目、阵元位置和阵元激励等信息,并将稀布阵的阵元数目、位置和激励等信息带入到HFSS里,对稀布阵进行仿真建模,将稀布阵列和原阵列的方向图、阵元位置、阵元激励等信息进行比较,验证算法的实用性和精确性.
The sparse distribution optimization of array antenna is a research hotspot in recent years.This technique can reduce the number of elements and rearrange the elements in the array.Firstly,the algorithm principle of unitary matrix beam algorithm is introduced;secondly,the antenna unit and antenna array are modeled and simulated in HFSS software;secondly,the sparse array is optimized by unitary matrix beam algorithm;finally,the sparse array is modeled and simulated in HFSS,and compared with the simulation results of the original array,the effectiveness and practicability of the algorithm are verified.
作者
徐娟
张月
赵建平
XU Juan;ZHANG Yue;ZHAO Jian-ping(School of Physical Engineering,Qufu Normal University,Jining 273165,China)
出处
《聊城大学学报（自然科学版）》
2020年第6期47-54,共8页
Journal of Liaocheng University:Natural Science Edition
基金
国家青年科学基金项目(61701278)
山东省博士基金项目(ZR2017BF017)
毫米波国家重点实验室开放课题(K201929)资助。
关键词
阵列天线
稀布优化
酉矩阵束算法
建模仿真
array antenna
sparse distribution optimization
unitary matrix beam algorithm
modeling and simulation
