使用数组几何学的对称性快速低侧叶图案合成
Ming Zhang1, Yongxi Liu1, Haidong Zhou2
1School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
本研究介绍了一种快速的数组模式合成方法,利用数组几何对称性. 这种方法显著降低了大规模数组的计算复杂性,提高了效率.
科学领域:
- 电磁学和信号处理
- 数字优化技术 数字优化技术
背景情况:
- 阵列模式合成的目标是低侧叶水平,在实际应用中至关重要.
- 数字优化是有效的,但由于高维变量,面临着由于大规模数组的高计算复杂性.
- 传感器阵列中的对称结构经常存在,可以被利用来加速算法.
研究的目的:
- 通过利用数组几何学的固有对称性来开发一种快速的模式合成方法.
- 将振幅权重问题作为第二阶形编程 (SOCP) 问题,并纳入动态范围的考虑.
- 为了显著减少计算复杂性和优化过程中的约束数量.
主要方法:
- 制定数组模式合成作为第二阶形编程 (SOCP) 问题.
- 利用数组几何的对称性来减少优化变量和约束的维度.
- 将该方法应用于统一的矩形数组 (URA) 和统一的六角数组 (UHA).
主要成果:
- 对大规模数组的计算效率有显著的改进.
- 在1024传感器的URA中,实现了158的计算效率改进系数.
- 在1261传感器的UHA中获得了284的计算效率改进因子.
结论:
- 拟议的方法有效地利用数组几何对称性来加速模式合成.
- 与对称性利用的SOCP配方大大提高了计算效率.
- 这种方法为设计具有低侧叶水平的大型传感器阵列提供了实用解决方案.
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