Sensor Bias Ambiguity in GNSS–IMU Pose Estimation and Its Solution

Abstract This article deals with the topic of pose and sensor bias estimation based on global navigation satellite system (GNSS) and inertial measurement unit (IMU) measurements, which is a widely discussed topic but usually by omitting the rigorous check of state observability leading to the suspicion of invalid assumptions. The current work underlines this suspicion by pointing out through observability calculations that to estimate position, velocity, attitude and acceleration, and angular rate biases of a system, attitude related measurements should be included besides GNSS position and velocity data. Such measurement can be the magnetic vector. Theoretical results are underlined by tests considering real-flight GNSS and IMU data of a DJI M600 Pro multicopter and comparing the results to the onboard DJI pose estimator.

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Publication Details

Journal
ASME Letters in Dynamic Systems and Control
Published
2025-08-08
DOI
https://doi.org/10.1115/1.4069343
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00
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article

Sensor Bias Ambiguity in GNSS–IMU Pose Estimation and Its Solution

Pavol Bauer
ASME Letters in Dynamic Systems and Control
Inertial Sensor and Navigation
article

Sensor Bias Ambiguity in GNSS–IMU Pose Estimation and Its Solution

Pavol Bauer
article en

Abstract

Abstract This article deals with the topic of pose and sensor bias estimation based on global navigation satellite system (GNSS) and inertial measurement unit (IMU) measurements, which is a widely discussed topic but usually by omitting the rigorous check of state observability leading to the suspicion of invalid assumptions. The current work underlines this suspicion by pointing out through observability calculations that to estimate position, velocity, attitude and acceleration, and angular rate biases of a system, attitude related measurements should be included besides GNSS position and velocity data. Such measurement can be the magnetic vector. Theoretical results are underlined by tests considering real-flight GNSS and IMU data of a DJI M600 Pro multicopter and comparing the results to the onboard DJI pose estimator.

ASME Letters in Dynamic Systems and ControlVol. 5(4)
Budapest University of Economics and Business (HU), HUN-REN Institute for Computer Science and Control (HU), Széchenyi István University (HU)
Openalex Percentile: Top 71%
Inertial Sensor and Navigation
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