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Robust Adaptive Beamforming with Null Widening under Quadratic Constraint

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7530))

Abstract

The adaptive beamforming algorithm can aim at the direction-of-arrival of jammer automatically. But when the antenna platform vibrates or interference moves quickly, it is possible that the mismatching occurs between adaptive weight and data due to the perturbation of the interference location. To solve these problems above, a novel algorithm for null widening is presented in this paper. By using quadratic constraint on the interference integration matrix, the proposed approach can control the depth and width of null with different user parameters, so the interferences can be suppressed effectively in such case and the robustness of this adaptive beamforming algorithm is improved. The formulas of this algorithm are deduced and the ranges of Lagrange multiplier value are computed. Simulation results show the effectiveness of the proposed algorithm.

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© 2012 Springer-Verlag Berlin Heidelberg

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Jiang, Y. (2012). Robust Adaptive Beamforming with Null Widening under Quadratic Constraint. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_70

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  • DOI: https://doi.org/10.1007/978-3-642-33478-8_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33477-1

  • Online ISBN: 978-3-642-33478-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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