基于MUSIC的多通道前向散射雷达使用OFDM信号
Yihua Qin1, Abdollah Ajorloo1, Fabiola Colone1
1Department of Information, Electronics and Telecommunications Engineering (DIET), Sapienza University of Rome, 00184 Rome, Italy.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
本研究介绍了使用MUSIC算法的多通道前向散射雷达 (MC-FSR) 的先进信号处理框架. 它显著提高了目标检测和分辨率,特别是在具有有限天线的低成本系统中.
科学领域:
- 雷达系统工程 雷达系统工程
- 信号处理 信号处理
- 电磁学 电磁学 电磁学 电磁学
背景情况:
- 现有的基于多通道前向散射雷达 (MC-FSR) 的基于快速里叶变换 (FFT) 的方法受到有限的角度分辨率和弱或近距离目标的不良检测的影响.
- 这些局限性在低成本的FSR系统中加剧了,这些系统使用小型天线阵列.
- 在硬件受限制的雷达应用中,对增强空间处理的需求至关重要.
研究的目的:
- 为MC-FSR系统开发一个先进的信号处理框架.
- 克服基于FT的传统方法在角分辨率和目标检测能力方面的局限性.
- 适应多重信号分类 (MUSIC) 算法用于非连贯的MC-FSR系统中的实值数据.
主要方法:
- 通过重构转向向量和调整自由度,将MUSIC算法适应来自非连贯MC-FSR的实值数据.
- 专注于直角频率分割多重复合 (OFDM) 信号,分析它们的自相对应特性以检测目标.
- 实施了诸如子频段处理和空间平滑等策略,以减轻目标签名衰变和管理信号相关性.
主要成果:
- 基于MUSIC的框架显著提高了MC-FSR系统中的角分辨率.
- 实现了靠近距离的目标的可靠区分,即使接收道有限.
- 模拟和实验结果验证了该框架与合作目标 (人,无人机) 的有效性,使用S频段MC-FSR原型.
结论:
- 拟议的基于MUSIC的MC-FSR框架比基于FT的方法提供了更高的性能.
- 它适用于低成本,硬件受限制的环境和新兴的综合传感和通信 (ISAC) 系统.
- 该方法在现实世界的雷达应用中证明了其实际有效性.
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