What question did this study set out to answer?

The aim is to enhance navigation accuracy in environments lacking GPS signals using Doppler-based techniques.

April 10, 2026Open Access

Reliable Navigation In GPS-Denied Environments Using Doppler Assistance

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Authors

DYDr. J. Yogapriya SSSangsai ST PRPraveen R

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Overview

This research demonstrates improved navigation accuracy in GPS-denied environments using Doppler assistance, highlighting its importance for autonomous systems.

Key Points

The aim is to enhance navigation accuracy in environments lacking GPS signals using Doppler-based techniques.
Proposing a navigation framework using Doppler-based velocity estimation.
Integrating inertial measurement units with Doppler observations from radio or acoustic signals.
Employing sensor fusion techniques like Extended Kalman Filtering and machine learning for error correction.
Testing the framework in complex environments such as urban canyons and tunnels.
Significant enhancement in navigation reliability and accuracy in GPS-denied environments.
Reduction in positional errors compared to traditional inertial-only methods.
Demonstrated continuous operation in challenging conditions.

Cite This Study

Yogapriya et al. (2026) studied this question.

synapsesocial.com/papers/69d896676c1944d70ce07dc7 https://doi.org/10.5281/zenodo.19471215

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April 10, 2026Open Access

Reliable Navigation In GPS-Denied Environments Using Doppler Assistance

View Full Paper

Ask AI

Bookmark

Authors

DYDr. J. Yogapriya SSSangsai ST PRPraveen R

Discussion

Member takes

Overview

This research demonstrates improved navigation accuracy in GPS-denied environments using Doppler assistance, highlighting its importance for autonomous systems.

Key Points

The aim is to enhance navigation accuracy in environments lacking GPS signals using Doppler-based techniques.
Proposing a navigation framework using Doppler-based velocity estimation.
Integrating inertial measurement units with Doppler observations from radio or acoustic signals.
Employing sensor fusion techniques like Extended Kalman Filtering and machine learning for error correction.
Testing the framework in complex environments such as urban canyons and tunnels.
Significant enhancement in navigation reliability and accuracy in GPS-denied environments.
Reduction in positional errors compared to traditional inertial-only methods.
Demonstrated continuous operation in challenging conditions.

Cite This Study

Yogapriya et al. (2026) studied this question.

synapsesocial.com/papers/69d896676c1944d70ce07dc7 https://doi.org/10.5281/zenodo.19471215

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