抑制信号失配和非平稳干扰的鲁棒性自适应波束形成

Robust Adaptive Beamforming Against Signal Mismatch and Interference Nonstationarity

本文针对信号失配和非平稳干扰问题,提出了一种鲁棒性较强的自适应波束形成方法。该方法通过考虑信号估计误差,在传统的线性约束最小方差的代价函数中引进信号协方差矩阵的估计误差并加入额外的波达角估计误差约束,通过一种高效的新型支持向量机训练算法计算权值;仿真结果表明该方法具有更好的鲁棒性。提高了波束形成器抑制信号估计失配和干扰非平稳性的能力。

In this paper, we present a more robust method to adaptive beamforming that provides joint robustness against signal mismatch and interference nonstationarity. We generalize the conventional linearly constrained minimum variance cost function by including the error matrix of signal covariance matrix and error constraints of DOA. To compute the beamformer weights, we adopt a computationally efficient Learning Algorithm for a new Regression SVM. Computer simulations demonstrate the excellent performance in comparison with other robust beamforming techniques.