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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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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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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Anchoring Junctions01:03

Anchoring Junctions

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Anchoring junctions are multiprotein complexes that help cells connect to other cells and the extracellular matrix. Anchoring junctions are present on the lateral and basal surfaces of cells, providing strong and flexible connections. Focal adhesions are often formed due to cell interactions with the ECM substrata, which initiate signal transduction via kinase cascades and other mechanisms. Together, they provide stability and tissue integrity. There are three types of anchoring junctions:...
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Types of Global Positioning System Surveys01:30

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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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Introduction to Global Positioning System01:30

Introduction to Global Positioning System

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The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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基于距离优化和移动节点的协助进行无线传感器定位:一种新的算法

Hui Yang1

  • 1School of Media Engineering, Lanzhou University of Arts and Science, Lanzhou, Gansu, China.

PeerJ. Computer science
|August 15, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了使用差异演化和混合RSS-TOA方法的新无线传感器网络本地化算法. 这些提高了WSN应用程序中目标跟踪和节点定位的准确性.

关键词:
不同进化算法差异演化算法定位算法的定位算法定位精度 定位精度 定位精度目标追踪器 目标追踪器无线传感器网络是无线传感器网络.

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科学领域:

  • 无线传感器网络 (WSN) 是一种无线传感器网络.
  • 在本地化算法算法.
  • 信号处理 信号处理

背景情况:

  • WSNs对于医疗保健,环境监测和目标跟踪至关重要.
  • 准确地定位节点和目标对于WSN性能至关重要.
  • 现有的本地化方法面临的挑战是准确性和未知的传输参数.

研究的目的:

  • 为WSNs开发创新的本地化算法.
  • 为了提高目标和节点定位的准确性和效率.
  • 为了应对在RSS-TOA本地化中未知传输参数的挑战.

主要方法:

  • 提出了使用差异演化算法的异步到达时间 (TOA) 定位算法.
  • 采用最小平方标准来建模信号发送时间作为目标位置的函数.
  • 开发了一种混合接收信号强度 (RSS) -TOA算法,用于同时估计传输参数和目标位置.

主要成果:

  • 与反向学习和自适应重定向的微分演变算法改善了目标节点坐标估计.
  • 混合RSS-TOA算法有效估计了传输功率,路径损失指数和目标位置.
  • 拟议的算法在WSN本地化中表现出更高的准确性和效率.

结论:

  • 新型异步TOA和混合RSS-TOA算法显著提高了WSN本地化准确性.
  • 这些进步提高了WSN在医疗保健和跟踪等各种应用中的性能.
  • 这项研究为无线传感器网络的本地化挑战提供了强大的解决方案.