Abstract
Multi-antenna satellite navigation receivers based on adaptive beamforming technology are susceptible to high dynamic interference, which results in the degradation of the reception performance of navigation signals and can not provide reliable location information for UAVs. In this paper, a robust beamforming design method based on minimum deviation criterion is proposed. By combining the statistical characteristics of each order of the signal, the minimum deviation criterion beamforming can enhance the reception of navigation signals, and at the same time, combining the minimum interference power criterion, widen the beam nulling to suppress high dynamic interference. Robust minimum deviation beamforming design method can be realized by solving optimization problems with quadratic constraints. In order to reduce the computational complexity, quadratic constraints are replaced by linear constraints. A fast algorithm is developed to reduce the computational complexity from <italic>O</italic>(<italic>N</italic><sup>3</sup>) of standard interior point method to <italic>O</italic>(<italic>NM</italic><sup>2</sup>). The effectiveness of the method is verified in terms of the output beam pattern from beamforming, the output signal-to-interference-noise ratio and the convergence speed of algorithm by computer simulation.
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