An Optimization Method for Sparse Spherical Conformal Arrays

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An Optimization Method for Sparse Spherical Conformal Arrays

更新时间：2025-07-09

- An Optimization Method for Sparse Spherical Conformal Arrays
- Vol. 45, Issue 4, Pages: 77-81(2011)
- 作者机构：
  
  电子科技大学电子工程学院,成都,611731
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN820.1
- Online First：10 April 2011，
  
  Published：2011
- 稿件说明：
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An Optimization Method for Sparse Spherical Conformal Arrays[J]. 2011, 45(4): 77-81.
DOI：

An Optimization Method for Sparse Spherical Conformal Arrays[J]. 2011, 45(4): 77-81. DOI：

摘要

为了抑制球面阵列峰值旁瓣电平

提出了一种基于改进遗传算法的阵元球面稀布优化算法(ESSA).首先采用遗传算法染色体对阵元位置信息进行特征提取

并利用染色体的的交叉、变异对位置信息进行优化重组

然后将重组前后的阵元位置信息合并成新的种群

最后在迭代过程中根据遗传算法适应度函数对阵元分布进行优化选择

从而建立最优阵元分布模型.与阵元球面均匀分布方法相比

EESA具有更大的阵元分布空间.仿真实验表明

经过遗传算法优化后所得最优阵元分布模型的峰值旁瓣电平较优化前约降低2.6 dB

实验结果证明了ESSA可完全实现阵元可分布空间的随机寻优.

Abstract

An element spherical sparse algorithm(ESSA)based on a modified genetic algorithm(GA)is proposed to reduce the maximum relative side lobe level of spherical arrays. Features of the elements positions are extracted by using the chromosomes of GA

and the information of elements positions is restructured by means of crossover and mutation

then a new group is generated by merging new information of elements positions. Finally

the best elements positions distribution is generated from the fitness in iteration process

and the optimization model is obtained. ESSA has more degrees of freedom compared with the uniform elements distribution. Simulation results show that the proposed method reduces the maximum relative side lobe level by about 2.6 dB. It is shown that ESSA absolutely realizes randomly seeking in the solution space.

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references

陈客松,何子述. 利用GA实现非对称稀疏线阵旁瓣电平的优化[J]. 电子与信息学报, 2007,29(4):987-990.

CHEN Kesong, HE Zishu. Sidelobe reduction of asymmetric linear thinned arrays using genetic algorithm [J]. Journal of Electronics and Information Technology, 2007, 29(4): 987-990.

HAUPT R L. Thinned arrays using genetic algorithms[J]. IEEE Transactions on Antennas and Propagation, 1994, 42(7): 993-999.

ANDREA T. Synthesizing asymmetric beam patterns[J]. IEEE Journal of Oceanic Engineering, 2000, 25(3):347-350.

KOSMAS V D, ZAHARIAS D Z, DIMITRA G K. Thinned planar array design using Boolean PSO with velocity mutation[J]. IEEE Transactions on Magnetics, 2009, 45(3):1490-1493.

魏平,徐成贤,段成德. 全局智能优化集成算法研究[J]. 西安交通大学学报, 2009, 43(12):60-64.

WEI Ping, XU Chengxian, DUAN Chengde. Integrated intelligent algorithms for global optimization [J]. Journal of Xi'an Jiaotong University, 2009,43(12):60-64.

王小平,曹立明. 遗传算法: 理论、应用与软件实现[M]. 西安:西安交通大学出版社, 2002:73-74.

HOFFMAN M. Conventions for the analysis of spherical arrays [J]. IEEE Transactions on Antennas and Propagation, 1963,11(4): 390-393.

无线通信中使用随机天线阵列的物理层安全传输方法. 西安交通大学学报,2010,44(6):62-66.

提高喇叭天线增益的超介质构建方法. 西安交通大学学报,2011,45(2):92-96.

多模块构架式空间可展开天线背架的几何建模. 西安交通大学学报,2011,45(1):111-116.

电大尺寸载体天线间宽带干扰耦合快速分析. 西安交通大学学报,2007,41(10):1202-1205.

快速四阶累积量旋转不变子空间算法. 西安交通大学学报,2009,43(6):88-92.

子阵和相位平滑的相位差方向估计方法. 西安交通大学学报,2010,44(10):72-76.

被动合成阵列极大似然参数估计的快速方法. 西安交通大学学报,2009,43(12):106-110.

一种适合任意阵列流型的相干信号波达方向估计算法. 西安交通大学学报,2009,43(6):72-75.

多频体制下虚拟阵列映射聚焦方法. 西安交通大学学报,2009,43(4):66-69.

一种新的浅海目标方位估计方法. 西安交通大学学报,2008,42(10):1295-1299.

二维波达方向估计的非酉联合对角化方法. 西安交通大学学报,2008,42(6):747-750.

相关衰落多输入多输出系统的参数化信道估计. 西安交通大学学报,2007,41(12):1431-1435.

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