Parallel design for initial alignment algorithm of strapdown inertial navigation system

摘要

Initial alignment is an indispensable process for a strapdown inertial navigation system to work correctly. And the methods to increase the alignment accuracy include improving the alignment algorithms and calculating with high speed. In this paper, the parallelization of alignment algorithm is designed to increase the calculating speed and frequency of initial alignment process. The faddeev algorithm and systolic array are used to execute the Kalman filter, and the Xilinx ML506 FPGA platform is used to implement the parallel design. The simulation tests by Matlab and Xilinx ISE 13.1 are conducted to confirm the correctness of the parallelization. All the results show that the parallel design in this research is efficient and reasonable.