| Citation: | LYU Y，CAO F. Robust beamforming based on linear constraint minimum variance algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（3）：617-624 （in Chinese） doi: 10.13700/j.bh.1001-5965.2021.0280
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In order to solve the problem of estimation mismatch of the direction of arrival (DOA) in the beamforming of planar antenna arrays, a method of adding linear constraints near the direction of the signal of interest (SOI) is used to improve the robustness of beamforming. In addition, to address the problem that adding linear constraints will lead to a reduction in the degree of freedom of the algorithm, taking the uniform linear array as an example, a blocking matrix pre-selection link is added to the generalized sidelobe cancellation (GSC) model. By properly addressing the degrees of freedom loss brought on by the addition of linear constraints, the new approach increases resilience while preserving the original degree of freedom. Finally, the effectiveness of the proposed algorithm is verified by experimental results.
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