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The construction method for QC-LDPC (quasi-cyclic low density parity-check) code with modified two-dimensional generalized reed-solomon (2-D GRS) code is proposed using the generator polynomial of GRS code,so thus the constructed code can have better decoding performance.Meanwhile both the quasi dual-diagonal structure and proper weight distributions are considered during the construction.The QC-LDPC codes with different rates are used to compare with the new designed codes.Experimental results show that the proposed method can accelerate the construction and QC-LDPC codes constructed from the proposed method can have better decoding performance while with low encoding complexity.

The construction method for QC-LDPC (quasi-cyclic low density parity-check) code with modified two-dimensional generalized reed-solomon (2-D GRS) code is proposed using the generator polynomial of GRS code,so thus the constructed code can have better decoding performance.Meanwhile both the quasi dual-diagonal structure and proper weight distributions are considered during the construction.The QC-LDPC codes with different rates are used to compare with the new designed codes.Experimental results show that the proposed method can accelerate the construction and QC-LDPC codes constructed from the proposed method can have better decoding performance while with low encoding complexity.

In order to reduce the operational volume and ensure the real-time capability of navigation algorithm of Kalman filtering,a novel filtering method called single-satellite sequential extended Kalman filtering (S3EKF) was proposed based on extended Kalman filtering (EKF) and sequential processing,where the single-satellite was as basic filtering unit.Simulation results show that,compared with the traditional EKF method,the S3EKF method can decrease the computation load efficiently when the number of visible satellites is no less than 7,and the reduction of computation load increases with the increase of the satellite’s visible n r,the decrease will reach more than 50% when the number of visible satellites is no less than 15.On the other hand,the consistency and stability of navigation solution are good when the satellites and their number are time-vraiant in S3EKF method.

In order to reduce the operational volume and ensure the real-time capability of navigation algorithm of Kalman filtering,a novel filtering method called single-satellite sequential extended Kalman filtering (S3EKF) was proposed based on extended Kalman filtering (EKF) and sequential processing,where the single-satellite was as basic filtering unit.Simulation results show that,compared with the traditional EKF method,the S3EKF method can decrease the computation load efficiently when the number of visible satellites is no less than 7,and the reduction of computation load increases with the increase of the satellite’s visible n r,the decrease will reach more than 50% when the number of visible satellites is no less than 15.On the other hand,the consistency and stability of navigation solution are good when the satellites and their number are time-vraiant in S3EKF method.