Performance analysis of advanced GPS receiver technique in radio frequency difficult environment

Li Ta Hsu, Shau Shiun Jan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Global Positioning System (GPS) is widely used in many applications, especially on its position, velocity and timing (PVT) services. In general, a GPS receiver performs accurately and smoothly under open-sky environment. However, under urban canyon and dense foliage environments, a GPS receiver could not provide PVT services adequately due to GPS signal blockage or multipath. As a result, this paper develops and implements an advance GPS receiver technique, the Vector Tracking (VT) technique, to compare its performance with the conventional standard GPS receiver design under radio frequency difficult environments. The VT technique is based on an Extended Kalman Filter (EKF) to track all GPS satellites simultaneously and to estimate the user's position, velocity, and clock bias. The VT technique takes the advantage of the user's dynamic to predict the associated changes in the GPS signal, and it could thus facilitate the GPS receiver to bridge the temporary signal outages. Additionally, the tuning of the EKF is the key performance factor of the VT technique, and two algorithms to estimate the noise covariance, namely the correlation method and the empirical setting method, are discussed in this paper as well. Finally, this paper presents the performance gained from the developed VT technique in comparison to the conventional GPS receiver under various Radio Frequency (RF) difficult environments.

Original languageEnglish
Pages (from-to)203-210
Number of pages8
JournalJournal of Aeronautics, Astronautics and Aviation
Volume45
Issue number3
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes

Keywords

  • Extended Kalman filter (EKF)
  • GPS
  • Parameter tuning
  • Vector tracking

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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