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相关概念视频

Interference and Diffraction02:18

Interference and Diffraction

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Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
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Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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Radial System Protection01:23

Radial System Protection

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Radial systems employ time-delay overcurrent relays to reduce load interruptions. When a fault occurs, the nearest breaker opens first, while upstream breakers remain closed due to longer delay settings. This approach ensures minimal disruption to the rest of the system.
In a radial system with a fault downstream of the third breaker, ideally, only the third breaker will open, isolating the fault and interrupting the load connected beyond it. The second breaker has a longer delay setting,...
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相关实验视频

Updated: Jan 13, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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基于CEEMDAN-WOBSS的分布式分相阵雷达主环干扰抑制和合作定位.

Xiang Liu1, Huafeng He1, Ruike Li1

  • 1College of Missile Engineering, Rocket Force Engineering University, Xi'an 710025, China.

Sensors (Basel, Switzerland)
|October 29, 2025
PubMed
概括

这项研究为雷达系统提供了一个新的框架,用于打击干扰和改善目标定位. 信号-数据双域合作防干扰和定位 (SDCAL) 方法提高了雷达在具有挑战性的环境中的性能.

关键词:
盲目源分离的方法合作的目标定位定位.分布式雷达网络分布式雷达网络在低SNR的环境中.主叶干扰抑制抑制干扰抑制

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科学领域:

  • 雷达系统工程 雷达系统工程
  • 信号处理 信号处理
  • 阵列信号处理 阵列信号处理

背景情况:

  • 分布式阵列雷达系统由于主叶干扰而遭受性能下降,特别是在强大的干扰或低反射率目标的情况下.
  • 有效的防干扰和精确的目标定位对于强大的雷达系统运行至关重要.

研究的目的:

  • 引入一个新的信号-数据双域合作防干扰和定位 (SDCAL) 框架.
  • 为了提高分布式相序列雷达系统在具有挑战性的干扰场景中的性能.

主要方法:

  • 具有改进的盲源分离和波段优化 (CEEMDAN-WOBSS) 的自适应全套实证模式分解,用于信号消噪和分离.
  • 基于恒定错误报警率 (CFAR) 的脉冲压缩用于范围估计.
  • 多节点数据融合用于三维目标定位.

主要成果:

  • 适应式CEEMDAN-WOBSS方法重建信号共变矩阵以保持子空间等级,在低SNR下加速分离矩阵的收.
  • 脉冲压缩和CFAR检测可提供可靠的节点间距离测量,以实现精确的融合.
  • 与传统方法相比,拟议的SDCAL框架显著提高了干扰抑制,检测概率和定位精度.

结论:

  • 在具有挑战性的干扰环境中,SDCAL框架为协作传感提供了一个强大的解决方案.
  • 集成的CEEMDAN-WOBSS,CFAR脉冲压缩和多节点融合有效地解决了主叶干扰并提高了定位精度.