通过基于FastICA算法的FDA-MIMO雷达进行SMSP主叶阻塞抑制
Pengfei Wan1,2, Guisheng Liao1, Jingwei Xu1
1National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
这项研究引入了一种新的频率多元阵列 (FDA) 多输入多输出 (MIMO) 雷达的新方法,以抑制涂抹频谱 (SMSP) 干扰. 该技术显著提高了雷达目标搜索性能,即使在低信号噪声条件下.
科学领域:
- 雷达系统工程 雷达系统工程
- 电子战是一种电子战.
- 信号处理 信号处理
背景情况:
- 基于地面的雷达目标搜索被电子战环境中的涂抹频谱 (SMSP) 干扰降低了.
- 传统的线性频率调制 (LFM) 雷达正在与自卫干扰器的SMSP干扰作斗争.
- 有效的干扰抑制对于保持雷达性能至关重要.
研究的目的:
- 为FDA-MIMO雷达提出一种新的SMSP主叶干扰抑制方法.
- 提高雷达在干扰条件下运行的目标搜索能力.
- 为了提高雷达检测概率和信号分离精度.
主要方法:
- 使用频率多元阵列 (FDA) 多输入多输出 (MIMO) 雷达系统.
- 使用最大算法来估计目标角度和去除侧叶干扰.
- 应用盲源分离 (BSS) 算法,通过利用范围-角度依赖来分离主叶干扰和目标信号.
主要成果:
- 目标回声信号与干扰成功分离.
- 对于分离的目标信号,实现了超过90%的相似系数.
- 显著提高了雷达检测概率,特别是在低信号噪声比率下.
结论:
- 拟议的FDA-MIMO雷达方法有效地抑制了SMSP主叶干扰.
- 该技术保持了高目标回声信号完整性,并提高了检测性能.
- 这种方法在具有挑战性的电子战场景中为雷达目标搜索提供了强大的解决方案.
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