A novel adaptive interference mitigation approach based on space time processing for global navigation system receiver arrays

This paper proposes a novel adaptive interference mitigation approach based on space time processing for global navigation system receiver arrays. The novel approach combines two adaptive filters, Normalized Least Mean Square (NLMS) algorithm and reduced-rank Multistage Nested Wiener Filter (MNWF), for interference mitigation, and shares the information of different channels' characters under various interference environments. Furthermore, the proposed filter adaptive exchanges their weights according to acquisition results and MSE (Mean Square Error). It is demonstrated that the proposed mixed double adaptive filter provides both advantages at the aspects of higher convergence speed and lower complexity for navigation receiver arrays than the other traditional adaptive array algorithms via simulations.