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相关概念视频

Errors in Global Positioning System01:26

Errors in Global Positioning System

24
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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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,...
38
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

22
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...
22
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

17
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...
17
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

43
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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Gyroscope01:02

Gyroscope

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A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
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相关实验视频

Updated: May 20, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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DeepSpoofNet:用于保护无人机免受GPS伪造攻击的框架.

Aziz Ur Rehman Badar1, Danish Mahmood1, Adeel Iqbal2

  • 1Computer Science, SZABIST, Islamabad, Pakistan.

PeerJ. Computer science
|March 26, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的框架,用于检测全球定位系统 (GPS) 对无人机 (UAV) 的伪造攻击. 拟议的方法提高了检测准确度,这对于无人机安全和可靠的导航至关重要.

关键词:
神经网络的神经网络的神经网络安全的安全的安全的安全的安全.

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科学领域:

  • 网络安全 网络安全
  • 航空航天工程 航空航天工程
  • 人工智能的人工智能

背景情况:

  • 无人驾驶飞行器 (UAV) 在各个领域越来越重要,但容易受到全球定位系统 (GPS) 伪造攻击.
  • GPS伪造可能会危及无人机控制,导致捕获或破坏,需要强大的检测机制.
  • 现有的机器学习方法面临着诸如不平衡的数据集和在资源有限的环境中有限的准确性等挑战.

研究的目的:

  • 调查最佳特征选择 (FS) 和深度学习技术,以检测无人机的GPS伪造攻击.
  • 解决当前研究的局限性,包括不平衡的数据集和次优特征选择.
  • 开发一个框架,提高无人机GPS伪造检测的准确性和可靠性.

主要方法:

  • 实施严格的过量采样技术来处理不平衡的数据集.
  • 结合了先进的特征选择方法与混合神经网络 (NN) 架构.
  • 使用卷积神经网络 (CNN) 和双向长期短期记忆 (BiLSTM) 综合模型.

主要成果:

  • 拟议的差异分析 (ANOVA) + CNN-BiLSTM混合模型实现了卓越的性能.
  • 特殊的结果包括98.84%的精度,99.25%的准确性,99.26%的F1得分和99.69%的回忆.
  • 在预测准确度,真假阳性率,F1得分和回忆方面显著改善.

结论:

  • 开发的混合模型有效地检测到无人机的GPS伪造攻击,克服了现有的研究挑战.
  • 该框架提供了一个强大的解决方案,用于增强无人机对复杂的网络威胁的安全性.
  • 这些发现为更安全,更可靠的自主导航系统铺平了道路.