A Comparison Between Tightly Coupled INS/GNSS Strategies for LEO Direct Ascent

he navigation of launch vehicle trajectories typically uses data fusion between an Inertial Navigation System (INS) and independent external measurements given by a Global Navigation Satellite System (GNSS) receiver. This technique is called INS/GNSS Integrated Navigation and is implemented through a Kalman Filter. In particular, the tightly coupled variant of INS/GNSS uses GNSS receiver's raw measurements, which are the code phase, carrier phase and Doppler shift, and associated satellite's data ephemeris. Here, we evaluate different strategies for tightly coupled navigation using numerical simulations and true GNSS measurements taken by a receiver being developed concurrently. We also compare different nonlinear Kalman filters, including the Extended Kalman Filter and the Unscented Kalman Filter. The launch trajectory is a direct ascent to Low Earth Orbit.

Authors

Institutions

Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/argencon62399.2024.10735877
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparison Between Tightly Coupled INS/GNSS Strategies for LEO Direct Ascent

Pablo Servidia, Víctor Cánepa
Inertial Sensor and Navigation
article

A Comparison Between Tightly Coupled INS/GNSS Strategies for LEO Direct Ascent

Pablo Servidia, Víctor Cánepa
article en

Abstract

he navigation of launch vehicle trajectories typically uses data fusion between an Inertial Navigation System (INS) and independent external measurements given by a Global Navigation Satellite System (GNSS) receiver. This technique is called INS/GNSS Integrated Navigation and is implemented through a Kalman Filter. In particular, the tightly coupled variant of INS/GNSS uses GNSS receiver's raw measurements, which are the code phase, carrier phase and Doppler shift, and associated satellite's data ephemeris. Here, we evaluate different strategies for tightly coupled navigation using numerical simulations and true GNSS measurements taken by a receiver being developed concurrently. We also compare different nonlinear Kalman filters, including the Extended Kalman Filter and the Unscented Kalman Filter. The launch trajectory is a direct ascent to Low Earth Orbit.

National Space Activities Commission (AR)
Openalex Percentile: Top 70%
Inertial Sensor and Navigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.