Design of Enhanced Rotation Locked Loop for Roll Angle Estimation of Rotating Vehicle in a Weak GPS Signal...

Area of Science:

• Navigation Systems
• Signal Processing

Background:

• Estimating vehicle roll angle is crucial for navigation and control.
• Conventional Rotation Locked Loop (RLL) algorithms struggle in weak Global Positioning System (GPS) signal environments.
• Degraded GPS signal power significantly impacts RLL algorithm performance.

Purpose of the Study:

• To propose an enhanced Rotation Locked Loop (RLL) algorithm for robust roll angle estimation.
• To improve the performance of RLL algorithms in weak Global Positioning System (GPS) signal conditions.
• To ensure stable roll angle estimation for rotating vehicles even with low signal strength.

Main Methods:

• Developed an enhanced Rotation Locked Loop (RLL) algorithm utilizing GPS signal power periodicity.
• Implemented a method to increase signal-to-noise ratio (SNR) by overlapping correlator outputs.
• Introduced a compensation technique for the rotation discriminator's reduced response in low-signal strength scenarios.

Main Results:

• The enhanced RLL algorithm demonstrates stable roll angle estimation capabilities.
• Performance was validated through computer simulations.
• Successful estimation was achieved in weak signal environments down to 29 dB⁻Hz of C/N0.

Conclusions:

• The proposed enhanced RLL algorithm provides a robust solution for roll angle estimation.
• The algorithm effectively operates in weak GPS signal conditions.
• This advancement enables reliable vehicle navigation and control in challenging signal environments.