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相关概念视频

Region of Convergence of Laplace Tarnsform01:20

Region of Convergence of Laplace Tarnsform

488
The Region of Convergence (ROC) is a fundamental concept in signal processing and system analysis, particularly associated with the Laplace transform. The ROC represents an area in the complex plane where the Laplace transform of a given signal converges, determining the transform's applicability and utility.
Consider a decaying exponential signal that begins at a specific time. When deriving its Laplace transform, the time-domain variable is replaced with a complex variable. This...
488
Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

91
Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
91

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相关实验视频

Updated: Jun 6, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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基于等级分类方法和最大概率估计的LPI雷达波形识别.

Kiwon Rhee1, Jaeyoung Baik2, Changhoon Song3

  • 1Department of Intelligent Semiconductors, Soongsil University, Seoul 06978, Republic of Korea.

Entropy (Basel, Switzerland)
|November 27, 2024
PubMed
概括

这项研究为雷达信号调制识别引入了新的区分特征. 拟议的方法准确地识别了各种调制方案,增强了电子战能力.

关键词:
拦截的可能性很低.雷达 雷达 雷达 雷达 是一个波形识别 波形识别 波形识别

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Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
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Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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科学领域:

  • 电气工程 电气工程
  • 信号处理 信号处理
  • 防务技术 防务技术 技术

背景情况:

  • 在战争中有效的信息收集将伤亡和经济损失降到最低.
  • 电子战 (EW) 利用电磁波来获得情报和战术优势.
  • 现有的雷达调制识别方法在不同的信号类型方面存在局限性.

研究的目的:

  • 开发用于雷达信号调制识别的新型区分特征.
  • 为了克服当前调制识别技术的局限性.
  • 提高电子战系统的准确性和稳定性.

主要方法:

  • 提出了用于信号分析的11个区分特征.
  • 采用了层次分类方法.
  • 使用最大概率估计 (MLE) 来进行信号分类.
  • 分类22种类型的调制信号 (模拟,数字,复合).

主要成果:

  • 在20dB的信号噪声比率 (SNR) 中,实现了99.76%的识别性能.
  • 在8dB的SNR下,证明了98.45%的识别性能.
  • 成功地区分了各种复杂的雷达调制方案.

结论:

  • 拟议的区分特征显著提高了雷达调制识别精度.
  • 这一进步对于提高电子战能力和情境意识至关重要.
  • 该方法提供了一个强大的解决方案,用于在具有挑战性的环境中识别各种雷达信号.