Comparison of GPS-Based Position Estimation Methods

Mert Sever; Chingiz Hajiyev

doi:10.1007/978-3-031-38446-2_54

Comparison of GPS-Based Position Estimation Methods

Mert Sever^*, Chingiz Hajiyev

^*Corresponding author for this work

Department of Aeronautical Engineering

Turkish National Defence University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter is devoted comparison of stationary user localization estimation by traditional extended Kalman filter (EKF), linear Kalman filter (LKF), and NRM pre-processed LKF. In this study, Şükrü Saraçoğlu stadium’s location was estimated via various types of Kalman filters. Position states due to Earth-centered inertial (ECI) reference frame were obtained by the Global Positioning System (GPS) receiver. Pseudo-ranging model was used to determining the position of Şükrü Saraçoğlu stadium. To simulate GPS receiver, random measurement errors were added to the actual distance between the stadium and GPS satellite. In this study, various filters were compared for stationary user localization estimation.

Original language	English
Title of host publication	Sustainable Aviation
Publisher	Springer Nature
Pages	495-506
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-031-38446-2_54
Publication status	Published - 2024

Publication series

Name	Sustainable Aviation
Volume	Part F4680
ISSN (Print)	2730-7778
ISSN (Electronic)	2730-7786

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Kalman filter
Stationary user localization

Access to Document

10.1007/978-3-031-38446-2_54

Cite this

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abstract = "This chapter is devoted comparison of stationary user localization estimation by traditional extended Kalman filter (EKF), linear Kalman filter (LKF), and NRM pre-processed LKF. In this study, {\c S}{\"u}kr{\"u} Sara{\c c}oğlu stadium{\textquoteright}s location was estimated via various types of Kalman filters. Position states due to Earth-centered inertial (ECI) reference frame were obtained by the Global Positioning System (GPS) receiver. Pseudo-ranging model was used to determining the position of {\c S}{\"u}kr{\"u} Sara{\c c}oğlu stadium. To simulate GPS receiver, random measurement errors were added to the actual distance between the stadium and GPS satellite. In this study, various filters were compared for stationary user localization estimation.",

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author = "Mert Sever and Chingiz Hajiyev",

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AU - Hajiyev, Chingiz

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AB - This chapter is devoted comparison of stationary user localization estimation by traditional extended Kalman filter (EKF), linear Kalman filter (LKF), and NRM pre-processed LKF. In this study, Şükrü Saraçoğlu stadium’s location was estimated via various types of Kalman filters. Position states due to Earth-centered inertial (ECI) reference frame were obtained by the Global Positioning System (GPS) receiver. Pseudo-ranging model was used to determining the position of Şükrü Saraçoğlu stadium. To simulate GPS receiver, random measurement errors were added to the actual distance between the stadium and GPS satellite. In this study, various filters were compared for stationary user localization estimation.

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KW - Stationary user localization

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PB - Springer Nature

ER -

Comparison of GPS-Based Position Estimation Methods

Abstract

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