IRNSS Orbit and Clock Bias Estimation using NavIC Ground Receiver Data: Extended Kalman Filter

Main Authors: Varsha H. S., Shreyanka B. Chougule, N. V. Vighnesam, Sudha K. L.
Other Authors: Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Format: Article Journal
Bahasa: eng
Terbitan: , 2019
Subjects:
Online Access: https://zenodo.org/record/5602693
ctrlnum 5602693
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><contributor>Blue Eyes Intelligence Engineering &amp; Sciences Publication(BEIESP)</contributor><creator>Varsha H. S.</creator><creator>Shreyanka B. Chougule</creator><creator>N. V. Vighnesam</creator><creator>Sudha K. L.</creator><date>2019-12-30</date><description>The aim of this work is to precisely estimate the IRNSS satellite&#x2019;s orbit and clock errors using NavIC receiver data. Orbit determination is required to precisely calculate the user/receiver position on the Earth. In this study, Bengaluru, Surat, Kolkata, and Hyderabad&#x2019;s NavIC ground receivers&#x2019; data is considered for orbit estimation. The pseudo-range measurements received by the ground receivers have multiple errors added due to ionospheric delay, tropospheric delay, multipath delays, satellite clock errors, and some unmodeled effects. But, the major factor accounting for errors is the satellite clock error. Hence, along with position and velocity of the satellite, even the clock correction is estimated using Extended Kalman Filter (EKF). EKF is a sequential estimation algorithm which estimates satellite position, velocity and clock error at each time instant. In this paper, results of all seven IRNSS satellite&#x2019;s orbit determination are discussed.</description><identifier>https://zenodo.org/record/5602693</identifier><identifier>10.35940/ijeat.B3670.129219</identifier><identifier>oai:zenodo.org:5602693</identifier><language>eng</language><relation>issn:2249-8958</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>International Journal of Engineering and Advanced Technology (IJEAT) 9(2) 713-717</source><subject>Clock bias, Estimation algorithms, Extended Kalman Filter, IRNSS, NavIC receiver, Orbit Determination, Satellite Position Estimation</subject><subject>ISSN</subject><subject>Retrieval Number</subject><title>IRNSS Orbit and Clock Bias Estimation using NavIC Ground Receiver Data: Extended Kalman Filter</title><type>Journal:Article</type><type>Journal:Article</type><recordID>5602693</recordID></dc>
language eng
format Journal:Article
Journal
Journal:Journal
author Varsha H. S.
Shreyanka B. Chougule
N. V. Vighnesam
Sudha K. L.
author2 Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
title IRNSS Orbit and Clock Bias Estimation using NavIC Ground Receiver Data: Extended Kalman Filter
publishDate 2019
topic Clock bias
Estimation algorithms
Extended Kalman Filter
IRNSS
NavIC receiver
Orbit Determination
Satellite Position Estimation
ISSN
Retrieval Number
url https://zenodo.org/record/5602693
contents The aim of this work is to precisely estimate the IRNSS satellite’s orbit and clock errors using NavIC receiver data. Orbit determination is required to precisely calculate the user/receiver position on the Earth. In this study, Bengaluru, Surat, Kolkata, and Hyderabad’s NavIC ground receivers’ data is considered for orbit estimation. The pseudo-range measurements received by the ground receivers have multiple errors added due to ionospheric delay, tropospheric delay, multipath delays, satellite clock errors, and some unmodeled effects. But, the major factor accounting for errors is the satellite clock error. Hence, along with position and velocity of the satellite, even the clock correction is estimated using Extended Kalman Filter (EKF). EKF is a sequential estimation algorithm which estimates satellite position, velocity and clock error at each time instant. In this paper, results of all seven IRNSS satellite’s orbit determination are discussed.
id IOS16997.5602693
institution ZAIN Publications
institution_id 7213
institution_type library:special
library
library Cognizance Journal of Multidisciplinary Studies
library_id 5267
collection Cognizance Journal of Multidisciplinary Studies
repository_id 16997
subject_area Multidisciplinary
city Stockholm
province INTERNASIONAL
shared_to_ipusnas_str 1
repoId IOS16997
first_indexed 2022-06-06T03:42:56Z
last_indexed 2022-06-06T03:42:56Z
recordtype dc
_version_ 1734899562041049088
score 17.608967