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Satellite Navigation Anti-jamming Algorithm Based on Extended Array

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China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 340))

Abstract

In the complex electromagnetic environment, the Global Navigation Satellite System (GNSS) was seriously influenced by the interference. The anti-jamming algorithm based on the uniform array have been widely used in GNSS interference suppression technology, but the number of the interference is limited by the number of the antenna sensor. This paper proposed an interference suppression algorithm based on the extended array, the algorithm could suppress more interference than the number of antenna sensor. Firstly, the covariance matrix of the non-uniform array is vectorized. After that, the spatial smoothing is used to build up the rank of the covariance matrix. With the smoothed covariance matrix, power inversion algorithm is used to estimate the directions of the interference. Then, forming an overdetermined equation based on the interference subspace and an arbitrary signal’s steering vector, whose direction is different form the interference. Finally, solving its least-squares solution to get the optimal weight, which can form nulls in the direction of interference without affecting the useful signal. The simulation results verify the effectiveness of the proposed algorithm.

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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, 61471363 and 61271404) and Fundamental Research Fund for the Central Universities (Grant No. 3122014B001).

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Correspondence to Fusheng Li .

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Li, F., Wang, W., Lu, D., Wang, L., Jia, Q., Wu, R. (2015). Satellite Navigation Anti-jamming Algorithm Based on Extended Array. 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_67

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  • DOI: https://doi.org/10.1007/978-3-662-46638-4_67

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46637-7

  • Online ISBN: 978-3-662-46638-4

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