硬件友好的基于网格的Sparse MIMO数组的多目标设计和优化.
Suleyman Gokhun Tanyer1,2,3, Paul Dent4, Murtaza Ali4
1MulticoreWare Inc., #228, 4010 Moorpark Ave., San Jose, CA 95117, USA.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
本研究介绍了一个设计框架,用于优化稀疏的多输入,多输出 (MIMO) 数组,以更好地检测多目标. 该框架提高了用于雷达应用的天线效率和性能指标.
科学领域:
- 阵列信号处理 阵列信号处理
- 雷达系统工程 雷达系统工程
- 电磁学 电磁学 电磁学 电磁学
背景情况:
- 优化稀疏的天线阵列对于先进的雷达系统至关重要.
- 现有的设计经常面临相互合和性能限制的挑战.
研究的目的:
- 为优化稀疏多输入,多输出 (MIMO) 数组提出一个全面的设计框架.
- 增强多目标检测能力和天线资源利用.
主要方法:
- 在稀疏数组中开发策略以最大限度地减少元素间的相互合.
- 探索基于网格的稀疏阵列 (GBSA) 配置和部分元素共享.
- 介绍虚拟光圈和光束宽度损失的性能指标.
- 使用机器学习初始化方法实现快速融合.
主要成果:
- 证明了增强的角度光束成形指标 (光束宽度,PSLR,视野).
- 通过使用可取性函数,在各种操作模式中展示了更好的性能.
- 通过模拟和测量验证了框架的有效性,超过了统一的阵列.
结论:
- 拟议的框架为网格间隔的稀疏数组提供了卓越的效率和硬件适用性.
- 有效的稀疏阵列处理对于多目标场景至关重要.
- 该框架为雷达应用提供了显著的优势.
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