Principles and Applications of Polarized-light-aided Attitude Determination in Integrated Navigation

To improve the attitude error correcting capabilities of GPS/SINS integrated navigation systems, a new method of polarized-light-based GPS/SINS integrated navigation is presented. The principles of polarized-light-aided attitude determination are demonstrated, and a multi-module approach is proposed to increases the degree of observability. The integrated navigation algorithm is implemented in frame of federated Kalman filtering. To verify the effects of the method, Matlab simulation is performed. The results indicate that the degree of observability and precision of the navigation system can be obviously improved, and the performance of the system can be improved more by using multi-polarized-light modules whose lines of sight are non-parallel with each other.