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相关概念视频

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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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低复杂性宽带干扰缓解用于UWB ToA估计

Stefan Hechenberger1,2, Stefan Tertinek3, Holger Arthaber1,2

  • 1Institute of Electrodynamics, Microwave and Circuit Engineering, TU Wien, 1040 Vienna, Austria.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种低复杂度的干扰缓解技术,用于在密集的多路径环境中精确的到达时间 (ToA) 估计. 该方法有效地减少干扰,提高精度,即使在有限的计算资源.

关键词:
在 LCMV 中,LCMV 是在UWB中,UWB是UWB.在到达的角度到达的角度.处理阵列的数组处理.干扰干扰是干扰的在本地化,本地化.低复杂度的方法到达的时间到达的时间.

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科学领域:

  • 信号处理 信号处理
  • 无线通信无线通信
  • 估计理论估计理论

背景情况:

  • 准确的到达时间 (ToA) 估计对于无线系统至关重要,但在密集的多路径 (DM) 环境中具有强大的干扰,具有挑战性.
  • 越来越多的频谱共享需要有效的干扰减缓技术,特别是对于具有有限计算能力的低能耗设备.

研究的目的:

  • 建议和评估一个低复杂度的干扰缓解方法,用于DM环境中的ToA估计.
  • 在现实的条件下,与传统方法相比,评估拟议方法的性能.

主要方法:

  • 一种线性约束最小方差 (LCMV) 干扰缓解方法与基于检测的ToA估计器相结合.
  • 通过测量和模拟,使用现实的多路径和干扰场景进行评估.
  • 使用平均绝对误差 (MAE) 对ToA估计误差的统计分析和与带停止波器方法的比较.

主要成果:

  • 拟议的LCMV方法显著减少强干扰的影响,即使干扰带宽超过信号带宽的60%.
  • 该算法在所需信号的到达角度 (AoA) 中证明了对不确定性的稳定性.
  • 通过对ToA估计误差 (MAE) 的统计分析来验证性能.

结论:

  • 开发的低复杂度LCMV干扰缓解技术非常适合在具有挑战性的无线环境中进行ToA估计.
  • 这种方法在处理宽带干扰和严格的计算功率限制时特别有利.
  • 这种方法对于元素最小 (例如两个) 的接收器是有效的,并且可以扩展到多元件系统.