An Environmentally-Adaptive Positioning Method Based on Integration of GPS/DTMB/FM

Area of Science:

• Navigation Systems
• Signal Processing
• Geomatics Engineering

Background:

• Global Positioning System (GPS) offers high accuracy in open areas but degrades in complex environments like urban canyons and forests.
• Existing positioning systems struggle with reliability and precision in obstructed signal environments.
• Need for robust positioning solutions in diverse and challenging geographical locations.

Purpose of the Study:

• To develop and evaluate a novel hybrid positioning method integrating GPS, Digital Terrestrial Multimedia Broadcast (DTMB), and Frequency-Modulated (FM) radio signals.
• To improve positioning accuracy and reliability in complex environments where GPS performance is compromised.
• To introduce an adaptive sensor fusion scheme for optimal integration of multiple positioning signals.

Main Methods:

• Integration of GPS with DTMB signals, utilizing DTMB transmitters as pseudo-satellites.
• Application of FM fingerprint positioning to correct GPS-induced positioning biases.
• Development of an adaptive selection scheme for dynamic sensor mode optimization.
• Conducting field experiments in complex environments to validate the proposed method.

Main Results:

• The proposed hybrid positioning method demonstrated significant improvements in accuracy.
• Positioning accuracy was enhanced by at least 68.21% compared to GPS-only systems.
• A 21.27% improvement in positioning accuracy was observed compared to a GPS + DTMB integrated approach.
• The system proved effective in complex environments, overcoming signal degradation issues.

Conclusions:

• The integrated GPS, DTMB, and FM positioning method offers a robust solution for accurate navigation in challenging environments.
• Adaptive sensor fusion is crucial for optimizing performance across varying environmental conditions.
• This hybrid approach significantly outperforms traditional GPS and dual-sensor systems in complex settings.