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相关概念视频

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...
43
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

70
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
70
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

39
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,...
39
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

81
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
81
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

23
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
23
Downsampling01:20

Downsampling

118
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
118

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相关实验视频

Updated: May 22, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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使用量子卷积自编码器进行最佳卫星选择,用于低成本的GNSS接收器应用.

Nalineekumari Arasavali1, Mogadala Vinod Kumar2, Sasibhushana Rao Gottapu3

  • 1Department of Electronics & Communication Engineering, Dadi Institute of Engineering & Technology(A), Visakhapatnam, Andhra Pradesh, India.

Scientific reports
|March 14, 2025
PubMed
概括

本研究介绍了一种量子卷积自编码器,用于在低成本全球导航卫星系统 (GNSS) 接收器中进行最佳卫星选择. 与传统方法相比,该方法显著提高了定位精度,并减少了计算负载.

关键词:
综合星座,可持续发展目标 (SDG) 9:工业,创新和基础设施,SDG 11:可持续城市和社区.在GNSS中使用GNSS.量子卷积式自动编码器卫星选择卫星的选择.

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科学领域:

  • 卫星导航系统 卫星导航系统
  • 量子计算应用程序 量子计算应用程序
  • 机器学习在优化中的应用.

背景情况:

  • 全球导航卫星系统 (GNSS) 是必不可少的,但由于高精度的几何稀释 (GDOP),低成本的接收器难以达到最佳性能.
  • 有效的卫星选择对于提高GNSS应用中的定位精度和可靠性至关重要.

研究的目的:

  • 使用量子计算和机器学习开发低成本GNSS接收器的最佳卫星选择方法.
  • 为了最大限度地减少精度的几何稀释 (GDOP),并优化四面体体积函数,以提高定位精度.

主要方法:

  • 提出了一种基于量子卷积自编码器 (QCAE) 的最佳卫星选择方法.
  • 利用了2022年3月10日从北16.33°和东经80.62°的接收器收集的卫星数据.
  • 将精度的几何稀释 (GDOP) 设置为成本函数,以确定最佳的定位卫星.

主要成果:

  • 在四颗卫星中,QCAE方法实现了1.384米的圆形误差概率 (CEP) 和1.759米的球形误差概率 (SEP),超过了PSOSSM (5.937米CEP,6.691米SEP).
  • 对于9颗卫星,QCAE的CEP为1.287米,SEP为1.713米,而PSOSSM的CEP为5.725米和SEP为6.385米.
  • 与使用所有可见卫星相比,QCAE的计算减少了超过64% (730次乘法,713次加法) (2034次乘法,2017年加法).

结论:

  • 基于QCAE的方法为经济高效的实时GNSS实现提供了最佳的导航解决方案.
  • 这项研究为利用先进的机器学习技术对卫星选择策略提供了新的见解.
  • 该方法通过提高准确性和计算效率来提高低成本GNSS接收器的性能.