CAJ | 학술논문

自适应波束形成器对模型失配与运动干扰非常敏感，特别是训练数据中包含期望信号分量时，较小的系统误差也会导致算法性能严重下降。该文提出一种零陷展宽鲁棒自适应波束形成算法，通过重构和优化干扰加噪声协方差矩阵，并估计真实导向矢量来提高算法抗系统误差与运动干扰的鲁棒性。该算法还可以通过调整主瓣宽度来优化波束旁瓣。仿真实验验证了所提算法的正确性和有效性。
자괄응파속형성기대모형실배여운동간우비상민감，특별시훈련수거중포함기망신호분량시，교소적계통오차야회도치산법성능엄중하강。해문제출일충령함전관로봉자괄응파속형성산법，통과중구화우화간우가조성협방차구진，병고계진실도향시량래제고산법항계통오차여운동간우적로봉성。해산법환가이통과조정주판관도래우화파속방판。방진실험험증료소제산법적정학성화유효성。
Adaptive beamformers are sensitive to model mismatch and moving interference, especially when the desired signal is present in training snapshots, even a small error can lead to a serious degradation in performance. A robust adaptive beamforming algorithm with null widening is proposed, which is performed by reconstructing and optimizing the interference-plus-noise covariance matrix, and estimating the true steering vector. The sidelobe can be optimized by adjusting the beam width of the mainlobe. Simulation results demonstrate the correctness and effectiveness of the proposed algorithm.