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Updated: Jun 27, 2025

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长期连贯集成算法用于高速目标检测.

Yao He1, Guanghui Zhao2, Kai Xiong3

  • 1Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China.

Sensors (Basel, Switzerland)
|April 27, 2024
PubMed
概括
此摘要是机器生成的。

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本研究引入了用于雷达检测高速目标的改进算法,通过纠正距离步行效应和避免盲速侧叶问题来提高性能来增强连贯集成.

科学领域:

  • 雷达信号处理是指处理雷达信号的过程.
  • 高速度目标检测检测器

背景情况:

  • 长期连贯集成 (CI) 改善了对高速目标的雷达检测.
  • 高速运动产生的范围步行 (RW) 效应降低了检测性能.

研究的目的:

  • 为提高雷达检测性能提出一个改进的算法.
  • 为了解决距离步行效应和盲目速度侧叶 (BSSL) 问题.

主要方法:

  • 开发了一种改进的算法,该算法基于修改的子反里叶变换 (IMRIFT).
  • 使用参数搜索速度估计,并设计了RW和多普勒模两可的补偿函数.
  • 提出了一个基于IMRIFT的快速方法,考虑计算效率的2D频域特征.

主要成果:

  • IMRIFT算法有效地纠正了距离步行,并减轻了BSSL的影响.
  • 在较低的计算复杂度下实现了更好的检测性能.
  • 快速方法平衡了计算成本和检测能力.

结论:

  • 拟议的IMRIFT算法及其快速变体显著提高了对高速目标的雷达检测能力.
  • 这些方法为雷达系统中的范围行走和BSSL问题提供了有效的解决方案.
关键词:
一致的检测检测.高速目标高速度目标.距离步行 (RW) 校正速度估计速度的估计.

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