在空中MIMO雷达中基于自身价值调整的STAP在有限的快照下
Chao Xu1, Qizhen Feng1, Zhao Wang1
1Civil Aviation Flight University of China, Deyang 618307, China.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
本研究引入了一种用于估计空中雷达共变矩阵的新方法,以有限的数据提高性能. 自值调整技术增强了杂乱加噪声协变矩阵估计,以实现可靠的时空自适应处理.
科学领域:
- 雷达系统工程 雷达系统工程
- 信号处理 信号处理
- 随机矩阵理论 随机矩阵理论
背景情况:
- 协变矩阵对于空中多输入多输出 (MIMO) 雷达的时空自适应处理 (STAP) 是至关重要的.
- 对杂乱加噪声共变矩阵 (CPNCM) 的准确估计对于MIMO-STAP的性能至关重要.
- 传统方法需要大量的快照,这对于空中雷达系统来说往往是不切实际的.
研究的目的:
- 在有限的快照条件下,开发一种用于空载MIMO-STAP雷达的新型共变矩阵估计方法.
- 通过调整噪音和杂乱样本本本值来提高CPNCM的估计.
- 为了使MIMO-STAP的可靠实施,提高性能和稳定性.
主要方法:
- 一种新的协差矩阵估计方法,灵感来自随机矩阵理论.
- 对噪声和杂乱样本应用的自身价值调整 (EA) 技术.
- 通过将雷达输出功率降到最低,调整噪声固有值与噪声功率和杂乱固有值.
主要成果:
- 有效的CPNCM是使用调整的自值和样本自向量来制定的.
- 拟议的EA-MIMO-STAP方法显示出卓越的性能.
- 实验结果证实了EA-MIMO-STAP方法的稳定性.
结论:
- 开发的自值调整方法在有限的快照中显著提高了CPNCM估计的准确性.
- 对于空中MIMO雷达,EA-MIMO-STAP提供了一个可靠和强大的解决方案.
- 该方法解决了MIMO-STAP系统中快照不足的实际挑战.
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