Entity

Time filter

Source Type


Duan Z.,State Key Laboratory of Satellite Navigation System and Equipment Technology | Duan Z.,The 54th Research Institute of CECT | Fan G.,State Key Laboratory of Satellite Navigation System and Equipment Technology | Fan G.,The 54th Research Institute of CECT | And 2 more authors.
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | Year: 2015

Aiming at narrowband interference suppression problem which satellite navigation receiving terminal faced with, combined with Krylov subspace nature, the multistage Wiener filtering algorithm based on Krylov subspace was applied to navigation receiving terminal narrowband interference suppression, which can achieve a navigation reciever adaptive narrow-band interference suppression, so that it can achieve the optimal output SNR (signal-to-noise ratio). The method solved the issue of large amount computation for traditional Wiener filtering due to matrix inversion. Simulation results show that the algorithm has a simple structure and lower computation than that of the optimal filter. Thus, it is a practical algorithm for narrow-band interference suppression. © 2015, Huazhong University of Science and Technology. All right reserved.


Fan G.,The 54th Research Institute of CECT | Yu B.,The 54th Research Institute of CECT | Deng Z.,The 54th Research Institute of CECT | Yang P.,The 54th Research Institute of CECT
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | Year: 2012

Space and time anti-interference for global navigation satellites system(GNSS) receivers requires good real-time processing ability .This limits the application of conventional matrix inversion algorithms due to their large amount of computation. Based on the analysis of the principle of multi-stage wiener filtering and combined with Krylov subspace nature, a multi-stage Wiener filter was designed for GNSS receivers. In this way, a reduction of filtering dimensions in Krylov subspace was achieved and the intensive computation for matrix inversion was avoided. Simulation results show that the proposed method can effectively reduce the amount of STAP algorithm computation with no anti-interference performance being affected and is more appropriate for real-time applications.

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