A Decoupled Doppler Positioning Algorithm for Dynamic Receivers Using LEO Constellation Signals

The advancement of low-earth-orbit (LEO) communication constellations has revitalized interest in Doppler-based positioning. However, conventional Doppler positioning algorithms struggle with dynamic receivers under unknown initial states due to the inherent nonlinearity of the observation model. To address this challenge, we propose an improved least-squares-based algorithm that decouples the estimation of position and velocity, enabling robust positioning from a zero initial state. Simulation results demonstrate that the proposed method achieves meter-level positioning accuracy and decimeter-per-second velocity accuracy under various dynamic scenarios, including high-speed motion. This approach establishes a viable framework for real-time navigation in GNSS-challenged environments using LEO signals.

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Publication Details

Journal
Sensors
Published
2025-11-05
DOI
https://doi.org/10.3390/s25216760
Primary Topic
GNSS positioning and interference
Type
article
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article

A Decoupled Doppler Positioning Algorithm for Dynamic Receivers Using LEO Constellation Signals

T. Liu, L. Wang, Yan Liu, Rong Yang et al.
Sensors
GNSS positioning and interference
article

A Decoupled Doppler Positioning Algorithm for Dynamic Receivers Using LEO Constellation Signals

T. Liu, L. Wang, Yan Liu, Rong Yang, Jiong Yi, Fushuan Wen, Yonghang Jiang
article en

Abstract

The advancement of low-earth-orbit (LEO) communication constellations has revitalized interest in Doppler-based positioning. However, conventional Doppler positioning algorithms struggle with dynamic receivers under unknown initial states due to the inherent nonlinearity of the observation model. To address this challenge, we propose an improved least-squares-based algorithm that decouples the estimation of position and velocity, enabling robust positioning from a zero initial state. Simulation results demonstrate that the proposed method achieves meter-level positioning accuracy and decimeter-per-second velocity accuracy under various dynamic scenarios, including high-speed motion. This approach establishes a viable framework for real-time navigation in GNSS-challenged environments using LEO signals.

SensorsVol. 25(21)
Hunan University (CN), National University of Defense Technology (CN), Changsha University (CN)
Openalex Percentile: Top 56%
GNSS positioning and interference
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