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相关概念视频

Errors in Global Positioning System01:26

Errors in Global Positioning System

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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Distributed Loads: Problem Solving01:21

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Maxwell-Boltzmann Distribution: Problem Solving01:20

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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Radiation Pressure: Problem Solving01:09

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The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
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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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对分布式MIMO雷达进行天线位置优化,基于强化学习算法.

Jin Zhu1,2, Wenxu Liu2, Xiangrong Zhang3

  • 1School of Artificial Intelligence, Xidian University, Xi'an, 710071, China.

Scientific reports
|October 15, 2023
PubMed
概括
此摘要是机器生成的。

这项研究优化了分布式多输入多输出 (MIMO) 雷达系统的天线位置. 新的强化学习方法增强了不同标题的目标的系统覆盖面积.

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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
  • 人工智能在国防中的作用

背景情况:

  • 分布式多输入多输出 (MIMO) 雷达系统对于目标检测和跟踪至关重要.
  • 优化天线位置对于最大限度地提高系统覆盖率至关重要,特别是对于动态目标.
  • 传统的方法难以应对不同目标定向角度的复杂性.

研究的目的:

  • 为解决多个目标定位角度的分布式MIMO雷达系统中的天线位置优化问题.
  • 开发一种改进的方法来计算系统覆盖面积,考虑改变目标标题.
  • 为了利用强化学习获得有效的天线放置解决方案.

主要方法:

  • 数学建模天线位置作为一个连续的决策问题.
  • 实施一种强化学习代理,利用基于长短期记忆 (LSTM) 的近接政策优化 (PPO) 算法.
  • 开发一种改进的方法来计算雷达系统覆盖面积.

主要成果:

  • 提出的强化学习方法有效地解决了天线位置优化问题.
  • 该方法显示了分布式MIMO雷达系统可实现的覆盖面积的显著增强.
  • 实验发现证实了基于LSTM-PPO的药物的疗效.

结论:

  • 开发的方法为分布式MIMO雷达中天线位置优化提供了一种新且有效的解决方案.
  • 这种方法为未来雷达系统设计的研发提供了宝贵的参考.
  • 通过智能天线放置实现的增强覆盖面积有助于提高雷达性能.