Design on MEMS-IMU aided GNSS phase locked loop based on fuzzy adaptive algorithm within ultra-tightly integration

Proposed a MEMS-IMU aided GNSS PLL within an ultra-tightly integration architecture based on a adaptive algorithm. The adaptive algorithm adjust gain base on the data provided by IMU data to improve the PLL performance in dynamic environment. The performances of the algorithm were simulated test and compared to the conventional tracking loops. The results show the proposed method could improve the noise rejection, reduce carrier phase tracking loops bandwidth and less phase deviation. The improvement offers the ability of faster tracking of the carrier phase and robustness improvements to the GNSS receiver and integration of MEMS IMU/GNSS system.