A new inertial aid method for high dynamic Compass signal tracking based on a nonlinear tracking differentiator

Area of Science:

• Navigation Systems Engineering
• Signal Processing
• Inertial Navigation

Background:

• Inertially-aided tracking loops in integrated navigation systems face challenges with inertial solution drift, leading to phase tracking errors.
• Conventional methods use line-of-sight velocity, which can amplify errors when the inertial solution is inaccurate.

Purpose of the Study:

• To develop a novel inertial aid method for Compass/INS integrated navigation systems.
• To enhance tracking accuracy and sensitivity, particularly in high-dynamic environments.
• To mitigate the impact of receiver dynamics and inertial errors on navigation solutions.

Main Methods:

• Implemented a Kalman filter-based carrier phase tracking loop.
• Introduced a nonlinear tracking differentiator to derive line-of-sight jerk from inertial acceleration.
• Adjusted Kalman filter process noise matrix parameters using the derived line-of-sight jerk.

Main Results:

• The proposed method effectively eliminates receiver dynamic effects and inertial errors.
• Experimental validation using a high-dynamic Compass B3 signal (10 g/s jerk) demonstrated robust performance.
• The method prevents large drifts in navigation solutions during system startup or re-acquisition after signal loss.

Conclusions:

• The new inertial aid method significantly improves the tracking of highly dynamic signals in integrated navigation systems.
• It offers a robust solution for scenarios with high dynamics and potential inertial sensor drift.
• This approach enhances the reliability and accuracy of navigation solutions in challenging conditions.