• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

L1-L5 双频 GPS/WAAS 用户航空电子传感器的垂直引导性能分析。

Vertical guidance performance analysis of the L1-L5 dual-frequency GPS/WAAS user avionics sensor.

机构信息

Institute of Civil Aviation, National Cheng Kung University, Tainan 70101, Taiwan.

出版信息

Sensors (Basel). 2010;10(4):2609-25. doi: 10.3390/s100402609. Epub 2010 Mar 25.

DOI:10.3390/s100402609
PMID:22319263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3274193/
Abstract

This paper investigates the potential vertical guidance performance of global positioning system (GPS)/wide area augmentation system (WAAS) user avionics sensor when the modernized GPS and Galileo are available. This paper will first investigate the airborne receiver code noise and multipath (CNMP) confidence (σair). The σair will be the dominant factor in the availability analysis of an L1-L5 dual-frequency GPS/WAAS user avionics sensor. This paper uses the MATLAB Algorithm Availability Simulation Tool (MAAST) to determine the required values for the σair, so that an L1-L5 dual-frequency GPS/WAAS user avionics sensor can meet the vertical guidance requirements of APproach with Vertical guidance (APV) II and CATegory (CAT) I over conterminous United States (CONUS). A modified MAAST that includes the Galileo satellite constellation is used to determine under what user configurations WAAS could be an APV II system or a CAT I system over CONUS. Furthermore, this paper examines the combinations of possible improvements in signal models and the addition of Galileo to determine if GPS/WAAS user avionics sensor could achieve 10 m Vertical Alert Limit (VAL) within the service volume. Finally, this paper presents the future vertical guidance performance of GPS user avionics sensor for the United States' WAAS, Japanese MTSAT-based satellite augmentation system (MSAS) and European geostationary navigation overlay service (EGNOS).

摘要

本文研究了现代 GPS 和伽利略系统可用时全球定位系统 (GPS)/广域增强系统 (WAAS) 用户航空电子传感器的潜在垂直引导性能。本文首先研究了机载接收机码噪声和多径 (CNMP) 置信度 (σair)。在 L1-L5 双频 GPS/WAAS 用户航空电子传感器的可用性分析中，σair 将是主要因素。本文使用 MATLAB Algorithm Availability Simulation Tool (MAAST) 确定所需的 σair 值，以便 L1-L5 双频 GPS/WAAS 用户航空电子传感器能够满足 APproach with Vertical guidance (APV) II 和 CATegory (CAT) I 在整个美国（CONUS）的垂直引导要求。使用包含伽利略卫星星座的修改后的 MAAST 来确定在什么用户配置下 WAAS 可以成为 CONUS 上的 APV II 系统或 CAT I 系统。此外，本文还研究了信号模型的可能改进和伽利略的添加的组合，以确定 GPS/WAAS 用户航空电子传感器是否可以在服务区内达到 10 m 垂直告警限 (VAL)。最后，本文介绍了美国 WAAS、日本基于 MTSAT 的卫星增强系统 (MSAS) 和欧洲地球静止导航重叠服务 (EGNOS) 的 GPS 用户航空电子传感器的未来垂直引导性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/d7b86ae4c4a8/sensors-10-02609f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/b91f5e02a123/sensors-10-02609f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/f2353357f01a/sensors-10-02609f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/1899d8035270/sensors-10-02609f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/86a9773e4e16/sensors-10-02609f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/538c03e5bf57/sensors-10-02609f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/46516aeb069c/sensors-10-02609f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/7637d05cbdec/sensors-10-02609f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/45c504d4c915/sensors-10-02609f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/8c4d50084eb3/sensors-10-02609f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/4b5a99b95dc0/sensors-10-02609f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/822d718329cf/sensors-10-02609f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/4016756e8afb/sensors-10-02609f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/d7b86ae4c4a8/sensors-10-02609f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/b91f5e02a123/sensors-10-02609f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/f2353357f01a/sensors-10-02609f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/1899d8035270/sensors-10-02609f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/86a9773e4e16/sensors-10-02609f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/538c03e5bf57/sensors-10-02609f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/46516aeb069c/sensors-10-02609f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/7637d05cbdec/sensors-10-02609f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/45c504d4c915/sensors-10-02609f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/8c4d50084eb3/sensors-10-02609f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/4b5a99b95dc0/sensors-10-02609f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/822d718329cf/sensors-10-02609f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/4016756e8afb/sensors-10-02609f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b6/3274193/d7b86ae4c4a8/sensors-10-02609f13.jpg

相似文献

1
Vertical guidance performance analysis of the L1-L5 dual-frequency GPS/WAAS user avionics sensor.L1-L5 双频 GPS/WAAS 用户航空电子传感器的垂直引导性能分析。
Sensors (Basel). 2010;10(4):2609-25. doi: 10.3390/s100402609. Epub 2010 Mar 25.
2
Accuracy of WAAS-enabled GPS for the determination of position and speed over ground.启用广域增强系统（WAAS）的全球定位系统（GPS）用于确定地面位置和速度的准确性。
J Biomech. 2005 Aug;38(8):1717-22. doi: 10.1016/j.jbiomech.2004.07.028.
3
Monitoring Aircraft Position Using EGNOS Data for the SBAS APV Approach to the Landing Procedure.利用 EGNOS 数据监测飞机位置，为 SBAS APV 进近着陆程序提供支持。
Sensors (Basel). 2020 Mar 30;20(7):1945. doi: 10.3390/s20071945.
4
Analysis of GPS/EGNOS Positioning Quality Using Different Ionospheric Models in UAV Navigation.利用不同电离层模型在无人机导航中分析 GPS/EGNOS 定位质量。
Sensors (Basel). 2023 Jan 18;23(3):1112. doi: 10.3390/s23031112.
5
Exploring Signals on L5/E5a/B2a for Dual-Frequency GNSS Precise Point Positioning.探索用于双频全球导航卫星系统精密单点定位的L5/E5a/B2a信号
Sensors (Basel). 2021 Mar 14;21(6):2046. doi: 10.3390/s21062046.
6
Benefits of Multi-Constellation/Multi-Frequency GNSS in a Tightly Coupled GNSS/IMU/Odometry Integration Algorithm.多星座/多频率 GNSS 在紧耦合 GNSS/IMU/里程计组合算法中的优势。
Sensors (Basel). 2018 Sep 12;18(9):3052. doi: 10.3390/s18093052.
7
NaviSoC: High-Accuracy Low-Power GNSS SoC with an Integrated Application Processor.导航片上系统：集成应用处理器的高精度低功耗全球导航卫星系统片上系统
Sensors (Basel). 2020 Feb 16;20(4):1069. doi: 10.3390/s20041069.
8
Performance Limits of GNSS Code-based Precise Positioning: GPS, Galileo & Meta-Signals.基于全球导航卫星系统（GNSS）码的精密定位的性能限制：GPS、伽利略系统与元信号
Sensors (Basel). 2020 Apr 13;20(8):2196. doi: 10.3390/s20082196.
9
Precise Point Positioning Using Triple GNSS Constellations in Various Modes.在各种模式下使用三重全球导航卫星系统星座进行精确点定位。
Sensors (Basel). 2016 May 28;16(6):779. doi: 10.3390/s16060779.
10
The Impact of Satellite Time Group Delay and Inter-Frequency Differential Code Bias Corrections on Multi-GNSS Combined Positioning.卫星时间群延迟和频率间差分码偏差校正对多全球导航卫星系统组合定位的影响
Sensors (Basel). 2017 Mar 16;17(3):602. doi: 10.3390/s17030602.

引用本文的文献

1
Human computer interactions in next-generation of aircraft smart navigation management systems: task analysis and architecture under an agent-oriented methodological approach.下一代飞机智能导航管理系统中的人机交互：面向智能体方法下的任务分析与架构
Sensors (Basel). 2015 Mar 4;15(3):5228-50. doi: 10.3390/s150305228.
2
Augmented GNSS differential corrections minimum mean square error estimation sensitivity to spatial correlation modeling errors.增强型全球导航卫星系统（GNSS）差分改正对空间相关建模误差的最小均方误差估计灵敏度。
Sensors (Basel). 2014 Jun 11;14(6):10258-72. doi: 10.3390/s140610258.
3
A real-time capable software-defined receiver using GPU for adaptive anti-jam GPS sensors.
使用 GPU 的实时自适应抗干扰 GPS 传感器的软件定义接收器。
Sensors (Basel). 2011;11(9):8966-91. doi: 10.3390/s110908966. Epub 2011 Sep 19.