一种零陷展宽鲁棒自适应波束形成算法

Robust Adaptive Beamforming with Null Widening

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。

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.