一个基于最佳卫星子集选择策略的随机模型,用于智能手机伪色相对定位
Jian Deng1, Huayin Wang1, Shuen Wei1
1Department of Surveying and Remote Sensing Engineering, Xiamen University of Technology, Xiamen 361024, China.
Sensors (Basel, Switzerland)
|April 27, 2024
概括
一个新的双差代码伪范围剩余 (DDPR) 依赖模型通过加权卫星观测来提高智能手机全球导航卫星系统 (GNSS) 定位精度. 这种方法在具有挑战性的城市环境中提高了可靠性.
科学领域:
- 地理学工程 工程地质学
- 卫星导航系统 卫星导航系统
- 信号处理 信号处理
背景情况:
- 智能手机全球导航卫星系统 (GNSS) 定位的传统随机模型由于观测质量限制而面临限制.
- 缓解这些限制对于提高基于电话的GNSS应用程序的准确性和可靠性至关重要.
研究的目的:
- 为智能手机GNSS定位引入一种新的双差异代码伪范围残余 (DDPR) 依存的随机模型.
- 通过优化卫星选择和观测权重来提高定位准确性和可靠性.
主要方法:
- 开发了一种DDPR依赖的随机模型,利用最佳的卫星子集,根据载体与噪声密度比 (C/N0) 进行选择.
- 估计了卫星的DDPR,并将其用作预先信息来构建观测随机模型.
- 应用伪范围差分定位来确定近似的终端位置.
主要成果:
- 与C/N0依赖的模型相比,DDPR依赖的模型显著提高了华为Mate40和P40终端在封闭环境中的定位精度.
- 在Mate40的北方,东方和上方方向实现了大约30-34%的精度改进,而P40的26-33%是P40.
- 该模型有效地识别和减轻了多路径和非视线 (NLOS) 信号,提高了整体定位性能.
结论:
- 拟议的DDPR依赖的随机模型提供了一种计算效率高且简单的方法来增强智能手机GNSS定位.
- 这种方法特别适用于具有信号障碍的复杂城市环境.
- 该模型成功地减轻了多路径和NLOS信号的严重错误,从而导致更准确和可靠的定位.
相关概念视频
01:26Errors in Global Positioning System
44
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,...
44
01:30Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
28
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...
28
01:28Field Application of Global Positioning System
45
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...
45
01:30Types of Global Positioning System Surveys
55
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...
55
01:30Introduction to Global Positioning System
57
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,...
57
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
52
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
52