基于子空间跟踪的递推稳健自适应波束形成

Recursive robust adaptive beamforming

为了解决实时系统应用中,通用秩信号模型的稳健自适应波束形成算法受计算复杂度高的限制这一问题,基于子空间跟踪理论,运用梯度下降法提出了一种递推稳健自适应波束形成算法,有效降低了计算量,提高了系统性能,改善了阵列输出的信干噪比。仿真结果表明,该算法具有快速收敛性与优越的稳健性。

The robust adaptive beamforming, based on general-rank signal models, is restricted by the great computational complexity in the real-time systems. Based on subspace tracking theory, this paper proposed a recursive robust adaptive beamforming by gradient descent method.The proposed algorithm decreased computational complexity, developed online implementations, made the mean output array SINR. Simulations results demonstrate that the proposed method can converg rapidly and has excellent robust performance.