Abstract
Space-Time Adaptive Processing (STAP) is an effective method to suppress interference in Global Navigation Satellite System (GNSS). But in high-dynamic environment, conventional adaptive anti-jamming algorithms are invalid since jammers may easily move out of the array pattern nulls. To solve this problem, a new null-widen method based on the Laplace distribution model is deduced in this paper, the method can get wider null at direction of jammers. However this method is computationally intensive by using STAP, thus a new null-widen method based on reduced-dimension multistage wiener filters (MWF) is deduced here. It has proved in simulation section that the new method can get better performance in few snapshots.
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Acknowledgments
The work of this paper is supported by the Projects of the National Natural Science Foundation of China (Grant No. 61172112, 61271404, 61471363), Fundamental Research Funds for the Central Universities (Grant No. 3122014D003).
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Ge, L., Lu, D., Wang, W., Wang, L., Jia, Q., Wu, R. (2015). A High-Dynamic Null-Widen GNSS Anti-jamming Algorithm Based on Reduced-Dimension Space-Time Adaptive Processing. In: Sun, J., Liu, J., Fan, S., Lu, X. (eds) China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 340. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46638-4_61
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DOI: https://doi.org/10.1007/978-3-662-46638-4_61
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