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Introduction to Global Positioning System

Introduction to Global Positioning System

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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Updated: Jul 1, 2025

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Published on: January 2, 2020

在智能手机上使用有效的GNSS/PDR融合定位算法,以应对具有挑战性的场景.

Jingkui Zhang^1,2, Baoguo Yu^1,2, Yuxiang Ge³

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

Sensors (Basel, Switzerland)

|March 13, 2024

概括

步行者死亡计算 (PDR) 协助全球导航卫星系统 (GNSS) 在复杂环境中定位. 这种融合提高了智能城市应用的可靠性和稳定性.

关键词:

在GNSS/PDR融合定位系统中进行定位.实时定位定位实时定位无的室内/室外定位系统智能手机的智能手机智能手机的智能手机.城市信息化和智能城市

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Last Updated: Jul 1, 2025

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科学领域:

地理学工程工程地质学
传感器融合式传感器
移动计算移动计算

背景情况:

全球导航卫星系统 (GNSS) 提供位置服务,但在城市峡谷和道等复杂环境中难以实现可靠性.
智能手机传感器对于增强GNSS来实现稳定和准确的定位至关重要.

研究的目的:

在具有挑战性的场景中,研究全球导航卫星系统 (GNSS) 定位算法,并通过行人死亡计算 (PDR) 进行增强.
评估GNSS/PDR融合定位在各种环境条件下的性能.

主要方法:

开发了一个步骤检测算法,使用加速模量峰谷分析.
采用Weinberg模型和Mahony算法进行PDR步骤长度和方向估计.
在开放,半开放和封闭环境中实施和评估GNSS/PDR融合定位.

主要成果:

验证了PDR在帮助GNSS在复杂环境中的定位方面的有效性.
通过多源传感器融合,在定位可靠性和稳定性方面显著改进.
在Android上开发了一个实时GNSS/PDR定位软件 (CUMT-POS v1.0).

结论:

步行者死亡计算 (PDR) 在具有挑战性的环境中显著提高了GNSS定位准确性和稳定性.
多源传感器融合是实现城市信息化和智能城市倡议可靠定位的关键.