Author: Jia, Kaiwei
Title: Integrity monitoring for RTK integer ambiguity resolution
Advisors: Jiang, Yi Ping (AAE)
Degree: M.Sc.
Year: 2023
Department: Department of Mechanical Engineering
Pages: viii, 72 pages : color illustrations
Language: English
Abstract: This paper explores the extension of current integrity monitoring methods for road navigation, specifically Real-time Kinematic Positioning (RTK). The paper examines a key issue for extending current integrity monitoring methods for RTK: guaranteeing a high successful rate of fixing ambiguity resolution. The paper proposes a real-time critical value algorithm based on failure rate and variance matrix to help find the right choice of critical value in RTK applications. Additionally, a partial ambiguity fixing (PAF) model based on the LAMBDA algorithm is used to improve success rates by resolving partial ambiguities in the presence of multipath or unaccounted-for atmospheric delays. Results demonstrate that the added PAF algorithm can maintain a higher success rate in resolving ambiguities while reducing the computation burden.
Rights: All rights reserved
Access: restricted access

Files in This Item:
File Description SizeFormat 
7470.pdfFor All Users (off-campus access for PolyU Staff & Students only)5.56 MBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show full item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/12990