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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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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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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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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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考虑NLOS效应的UWB基站部署优化方法 基于强制飞行改进的粒子群集优化器

Shengliang Wang1,2,3,4, Ming Gao2,5, Ling'ai Li6

  • 1State Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, China.

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概括

本研究介绍了一种优化的超宽带基站部署方法,以提高室内定位精度. 新方法显著提高了覆盖率,并减少了盲点,特别是在复杂的环境中.

关键词:
莱维飞行飞行员的飞行在NLOS的NLOS.在UWB中,UWB是UWB.基站部署优化,基础站部署优化粒子群集优化 粒子群集优化

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科学领域:

  • 机器人和自动化 机器人和自动化
  • 无线通信无线通信
  • 地缘空间信息系统 (Geospatial Information Systems) 是一个地理空间信息系统.

背景情况:

  • 传统的超宽带 (UWB) 基站 (BS) 部署方法,如矩形和钻石图案,无法解释非视线 (NLOS) 阻塞.
  • 这种限制导致定位盲区,降低了移动标签的整体定位精度.

研究的目的:

  • 提出一种新的UWB BS部署优化方法,明确考虑NLOS封闭.
  • 为了提高室内定位准确度和复杂环境中的覆盖范围.

主要方法:

  • 利用室内地图信息来确定BS部署范围和封闭.
  • 采用基于飞行策略的粒子群优化 (LPSO) 算法来解决部署优化问题.
  • 将可定位点覆盖率定义为优化适应性函数.

主要成果:

  • 模拟结果表明,LPSO优化的部署在可定位空间覆盖方面明显优于标准的PSO,矩形和钻石部署模型.
  • 在复杂的封闭场景中,LPSO实现了比矩形部署更好的19.0%和22.6%的覆盖率,并且在不同的NLOS值下比钻石部署更好3.0%和6.5%.
  • 在地下车库进行的实验验证显示,与7BS布局相比,LPSO优化的13BS布局提高了34.9%的覆盖率,并减少了81.7%的HDOP.

结论:

  • 拟议的UWB BS布局优化方案有效地解决了NLOS封闭挑战.
  • LPSO方法在大型和复杂的室内环境中表现出卓越的适应性,提高了信号覆盖率和定位精度.
  • 这种方法对于改善室内定位系统具有显著的实际价值.