Robust SFAP anti-jamming algorithm based on generalized sidelobe cancellation

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Abstract

With the rapid development and the wide application of Global Navigation Satellite System (GNSS), anti-jamming technology has been widely studied and applied for anti-jamming satellite navigation receivers in recent years. The robust space-frequency adaptive processing (SFAP), combining array signal processing theory, adaptive filtering algorithm and Fast Fourier Transform (FFT), based on segmentation of the frequency-domain is proposed in this paper. And the method for calculating the anti-jamming weight of the frequency-domain based on Generalized Sidelobe Cancellers (GSC) is also presented, which reduces the dimension of the matrix during the process of the covariance matrix inversion. Consequently, it makes the system much easier to implement. In addition, the algorithm is improved further, combined with robust beamforming technology. Through notch widen against frequency-domain, the error that exist in the actual system, influencing the performance of algorithm, will be effectively reduced, and the adaptability for high dramatic environment will also be enhanced.

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Liu, L., Zhang, Z., & Wang, L. (2015). Robust SFAP anti-jamming algorithm based on generalized sidelobe cancellation. In Lecture Notes in Electrical Engineering (Vol. 340, pp. 795–804). Springer Verlag. https://doi.org/10.1007/978-3-662-46638-4_69

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