在空中雷达传感器系统中基于RFRT-SLVD的地面机动目标检测和运动参数估计方法
Lanjin Lin1, Yang Zhao1, Yang Yang1
1Aerodynamics Research and Development Center Computation Aerodynamics Institute of China, Mianyang 621000, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
本研究介绍了RFRT-SLVD,这是一种用于空中雷达探测和估计地面机动目标运动参数的新方法. 它有效地解决了范围和多普勒频率迁移,改善了目标检测和参数估计的准确性.
科学领域:
- 雷达信号处理是指处理雷达信号的过程.
- 目标检测和跟踪.
- 估计理论估计理论
背景情况:
- 空载雷达系统在探测和估计地面机动目标的运动参数方面面临着挑战.
- 复杂的目标运动,包括速度,加速和冲动,导致范围迁移 (RMs) 和多普勒频率迁移 (DFMs).
- 这些迁移降低了雷达性能,限制了可靠的检测和精确的参数估计.
研究的目的:
- 为空中雷达提出一种新的方法,RFRT-SLVD,用于检测和估计地面机动目标的运动参数.
- 为了解决范围和多普勒频率迁移对雷达性能所造成的限制.
- 为了提高机动目标检测和参数估计的准确性和可靠性.
主要方法:
- 提出了一种新的检测和运动参数估计方法,RFRT-SLVD,它结合了范围频率逆转换 (RFRT) 和搜索Lv的分布 (SLVD).
- 该方法考虑了三级范围迁移 (TRM) 和二级多普勒频率迁移 (QDFM).
- 使用RFRT消除RM,使用与冲动相关的相补偿函数 (PCF) 补偿QDFM,然后使用LVD去除剩余的DFM.
主要成果:
- 该RFRT-SLVD方法有效地消除RMs和补偿QDFMs,使信号能量的积累.
- 它允许在没有事先目标知识的情况下直接补偿RM,并避免盲目的速度侧流 (BSSL) 效应.
- 该方法证明了参数估计性能和计算效率之间的平衡权衡,通过数值分析和实验验证.
结论:
- 拟议的RFRT-SLVD方法为在空中雷达系统中检测和估计地面机动目标的运动参数提供了可靠的解决方案.
- 它显著提高了检测能力和参数估计准确度,即使在多普勒模两可的场景中.
- 该方法在多目标场景中显示了适用性,并为现有算法提供了计算效率高的替代方案.
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