GPS-Based Real-Time Orbit Determination of Low Earth Orbit Satellites Using Robust Unscented Kalman Filter

Date

2017-11-01

Author

Karslıoğlu, Mahmut Onur
Erdogan, Eren
Pamuk, Onur

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

97
views

0
downloads

In this research, a novel algorithm for real-time orbit determination (RTOD) is presented using the robust unscented Kalman filter (RUKF) with global positioning system (GPS) group and phase ionospheric correction (GRAPHIC) observables. To increase the reliability of the solution, a robust approach is included in the UKF to cope with the bad, invalid, or degraded measurements leading to the divergence or inaccurate output of the filter. Robustness is provided by making the filter less sensitive to faulty measurements using a scale matrix that is multiplied with the covariance matrix of the observation noises. Real data collected during a massive solar storm are used in the algorithm. For external validation, the outputs of RUKF and classical UKF are compared with the precision orbit ephemerides of the Challenging Minisatellite Payload (CHAMP). The results show that RUKF slightly outperforms classical UKF and possesses the capability to be used as an efficient and reliable algorithm in case of bad observations or malfunctioning of the system. (C) 2017 American Society of Civil Engineers.

Subject Keywords

Real-time orbit determination, Global positioning system (GPS) GRAPHIC observables, Robust estimation, Unscented Kalman filter, Spaceborn global positioning system (GPS) receiver

URI

https://hdl.handle.net/11511/51054

Journal

JOURNAL OF AEROSPACE ENGINEERING

DOI

https://doi.org/10.1061/(asce)as.19435525.0000779

Collections

Graduate School of Natural and Applied Sciences, Article

Suggestions

OpenMETU
Core

Near Real Time Orbit Detemination of BILSAT-1 Erdogan, Eren; Karslıoğlu, Mahmut Onur (2009-06-13) Reduced dynamic models combined with GPSObservations on board the satellites within an extended Kalman Filtering algorithm increases the accuracy of near real time orbit determination. Gravity model as the main force and numerical integration methods are the key concepts in the GPS based reduced dynamic orbit determination. EGM 2008 Earth Gravity Model represented by U.S. National Geospatial Intelligence Agency (NGA) EGM Development Group offers a new model for the determination of gravity accelerations. S...
Positioning performances of single frequency GPS, GLONASS and carrier based algorithms in a software platform / Savaş, Caner; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2014) There exist various algorithms (signal acquisition, tracking, etc.), methods (RTK (Real Time Kinematic), DGPS (Differential Global Positioning System), etc.) or aid systems (SBAS (Satellite Based Augmentation Systems), INS (Inertial Navigation System) aid etc.) to improve the GNSS (Global Navigation Satellite System) positioning accuracy. The positioning accuracy of different systems is usually determined by using a test setup which includes costly hardware and software units. In order to compare positionin...
Transient signal detection in continuous GPS coordinate time series using empirical mode decomposition and principal component analysis Özdemir, Soner; Karslıoğlu, Mahmut Onur.; Department of Geodetic and Geographical Information Technologies (2019) Continuous Global Positioning System (GPS) coordinate time series might be exposed to tectonic and non-tectonic transient signals as well as the persistent signals such as secular rates and seasonal motions. Transient signal detection becomes challenging when the targeted signal is weak and buried in the noise. Incoherency of the transient signal in space and large number of sites in the GPS network make the detection even more complicated. We propose a new approach based on Empirical Mode Decomposition (EM...
Vector tracking loop design for GPS receivers Üzel, Deniz; Baykal, Buyurman; Department of Electrical and Electronics Engineering (2016) This study describes the design of a modern GPS receiver architecture based on vector tracking loops. Since the traditional tracking loops process the signals independently, there is no information exchange between channels. Due to that fact, aiding of weaker signals in the presence of relatively strong signals is impossible. On the other hand, vector tracking loops simultaneously process the signals from all visible channels. Therefore, they are able to perform better than the traditional tracking loops in...
Robust Attitude Estimation Using IMU-Only Measurements Candan, Batu; Söken, Halil Ersin (2021-01-01) © 1963-2012 IEEE.This article proposes two novel covariance-tuning methods to form a robust Kalman filter (RKF) algorithm for attitude (i.e., roll and pitch) estimation using the measurements of only an inertial measurement unit (IMU). KF-based and complementary filtering (CF)-based approaches are the two common methods for solving the attitude estimation problem. Efficiency and optimality of the KF-based attitude filters are correlated with appropriate tuning of the covariance matrices. Manual tuning proce...

Citation Formats

M. O. Karslıoğlu, E. Erdogan, and O. Pamuk, “GPS-Based Real-Time Orbit Determination of Low Earth Orbit Satellites Using Robust Unscented Kalman Filter,” JOURNAL OF AEROSPACE ENGINEERING, pp. 0–0, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51054.