鲁棒RLS波束形成算法

分析了多径传播环境下,信号方向向量的偏差和采样样本数目的变化对自适应波束形成算法性能的影响,提出了一种鲁棒RLS波束形成算法·该算法具有收敛速度快,抗扰动性强,误差小的特点·采用鲁棒RLS波束形成算法不但降低了波束形成器对于信号方向向量的偏差的敏感程度,而且可以保证阵列输出的信干噪比(SINR)接近最优值,仿真实验验证了所提算法的有效性·实验结果表明即使在强扰动或偏差存在的情况下,采用鲁棒RLS算法可使系统具有良好的SINR,而且可以改善加权向量的归一化偏差·

Robust RLS Adaptive Beamforming Algorithm

Under the circumstances of multipath propagation, the performances of existing adaptive array algorithms are known to degrade substantially in the presence of even slighter mismatches between the actual and presumed array responses to the desired signal. Similar types of degradation can take place when the signal array response is known precisely but the training sample size is small. The novel approach to robust adaptive beamforming is proposed in the presence of the signal steering vector mismatches. The robust RLS adaptive beamforming algorithm provides excellent robustness against the signal steering vector mismatches and small training sample size, offers faster convergence rate, makes the mean output array SINR consistently close to the optimal one and improves the unitary mismatch. Computer simulations demonstrate a visible performance gain of the proposed robust RLS algorithm.