Abstract:

To effectively overcome the effects of beam distortion caused by weights mismatch,and to improve the antijamming ability of the satellite navigation, a new genetic matrix adjoint inversion algorithm is proposed, and which is implemented by the hardware. The algorithm is based on the covariance matrix of the last time, combined with the characteristics of the new environment to estimate the covariance matrix of the next moment, so that there are genetic characteristics between the matrices, and a stable weight is obtained. A thousand times of Monte Carlo simulation show that the proposed algorithm compared with the sampling matrix inversion (SMI) algorithm, has better robustness and the distortion of beam forming parasitic nulling gain average depth decreases by 15 dB, and the effects of interference on satellite signals are reduced. Hardware testing shows that the interference to signal ratio suppression of the two interferences can be improved by 7~9 dB when compared with the SMI algorithm. Simulation and experimental results show that the proposed algorithm obviously improves the anti-jamming performance of satellite navigation.